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<li class="md-nav__item">
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<a href="../" class="md-nav__link">
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Train and deploy a SOTA model
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Tutorial overview
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<a href="../../how-to-guides/create-service/" class="md-nav__link">
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How to instantiate a GreatAI service
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Simple AI lifecycle with classification
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Reference
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Reference
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<li class="md-nav__item">
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<a href="../../simple/data/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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Train a domain classifier on the semantic scholar dataset
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<li class="md-nav__item">
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<a href="../../simple/deploy/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
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Utilities
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@ -1977,13 +1991,13 @@ def predict_domain(sentence, model):
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<a href="../../simple/data/" class="md-footer__link md-footer__link--next" aria-label="Next: Train a domain classifier on the semantic scholar dataset" rel="next">
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Train a domain classifier on the semantic scholar dataset
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<div class="md-footer__button md-icon">
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<title>Train and deploy a SOTA model - GreatAI documentation</title>
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<title>Tutorial overview - GreatAI documentation</title>
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<div class="md-header__topic" data-md-component="header-topic">
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<span class="md-ellipsis">
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Train and deploy a SOTA model
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Tutorial overview
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7M9 21a1 1 0 0 0 1 1h4a1 1 0 0 0 1-1v-1H9v1Z"/></svg>
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Train and deploy a SOTA model
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Tutorial overview
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<span class="md-nav__icon md-icon"></span>
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</label>
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<a href="./" class="md-nav__link md-nav__link--active">
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Train and deploy a SOTA model
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Tutorial overview
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</a>
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<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="#overview" class="md-nav__link">
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||||
Overview
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<a href="#objectives" class="md-nav__link">
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Objectives
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</a>
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||||
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</li>
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||||
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||||
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Objectives
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Overview
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||||
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<li class="md-nav__item">
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||||
<a href="../how-to-guides/create-service/" class="md-nav__link">
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||||
How to instantiate a GreatAI service
|
||||
</a>
|
||||
</li>
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||||
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||||
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</ul>
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<label class="md-nav__link" for="__nav_3_1">
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Simple AI lifecycle with classification
|
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<label class="md-nav__link" for="__nav_4">
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Reference
|
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<span class="md-nav__icon md-icon"></span>
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Simple AI lifecycle with classification
|
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Reference
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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||||
<a href="../simple/data/" class="md-nav__link">
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||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
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||||
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<a href="../simple/train/" class="md-nav__link">
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Train a domain classifier on the semantic scholar dataset
|
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</a>
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</li>
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||||
<a href="../simple/deploy/" class="md-nav__link">
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||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
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||||
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||||
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||||
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||||
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Reference
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Utilities
|
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</a>
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LargeFile
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</a>
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</li>
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||||
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<a href="../reference/views/" class="md-nav__link">
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View models
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</a>
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||||
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</ul>
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||||
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|||
<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
|
||||
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||||
<li class="md-nav__item">
|
||||
<a href="#overview" class="md-nav__link">
|
||||
Overview
|
||||
<a href="#objectives" class="md-nav__link">
|
||||
Objectives
|
||||
</a>
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||||
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||||
</li>
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||||
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||||
<li class="md-nav__item">
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||||
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||||
Objectives
|
||||
<a href="#overview" class="md-nav__link">
|
||||
Overview
|
||||
</a>
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||||
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||||
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||||
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|
@ -623,29 +637,30 @@
|
|||
|
||||
|
||||
<h1 id="train-and-deploy-a-sota-model">Train and deploy a SOTA model<a class="headerlink" href="#train-and-deploy-a-sota-model" title="Permanent link">#</a></h1>
|
||||
<p>Let's see GreatAI in action by going over the life-cycle of a simple service.</p>
|
||||
<h2 id="objectives">Objectives<a class="headerlink" href="#objectives" title="Permanent link">#</a></h2>
|
||||
<ol>
|
||||
<li>You will see how the [great_ai.utilities][] can integrate into your Data Science workflow.</li>
|
||||
<li>You will use [great_ai.large_file][] to version and store your trained model.</li>
|
||||
<li>You will use <a class="autorefs autorefs-internal" href="../reference/#great_ai.GreatAI">GreatAI</a> to prepare your model for a robust and responsible deployment.</li>
|
||||
</ol>
|
||||
<h2 id="overview">Overview<a class="headerlink" href="#overview" title="Permanent link">#</a></h2>
|
||||
<p>You are going to train a field of study (domain) classifier for scientific sentences. The exact task was proposed by the <a href="https://arxiv.org/abs/1903.10676">SciBERT paper</a> in which SciBERT <a href="https://paperswithcode.com/sota/sentence-classification-on-paper-field">achieved an F1-score of 0.6571</a>. We are going to outperform it using a trivial text classification model: a <a href="https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html">Linear SVM</a>.</p>
|
||||
<p>We use the same synthetic dataset derived from the <a href="https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/">Microsoft Academic Graph</a>. The dataset is <a href="https://github.com/allenai/scibert/tree/master/data/text_classification/mag">available here</a>.</p>
|
||||
<h2 id="objectives">Objectives<a class="headerlink" href="#objectives" title="Permanent link">#</a></h2>
|
||||
<ol>
|
||||
<li>You will see how the <code>great_ai.utilities</code> can integrate into your Data Science workflow.</li>
|
||||
<li>You will use <code>great_ai.large_file</code> to version and store your trained model</li>
|
||||
<li>You will use <code>GreatAI</code> to prepare your model for a robust and responsible deployment</li>
|
||||
</ol>
|
||||
<div class="admonition success">
|
||||
<p class="admonition-title">Success</p>
|
||||
<p>You are ready to start the tutorial. Feel free to come back to the <a href="#summary">summary</a> section once you're finished.</p>
|
||||
</div>
|
||||
<div style="display: flex; justify-content: space-evenly;">
|
||||
<p><a class="md-button md-button--primary" href="train/"><span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M160 80c0-26.51 21.5-48 48-48h32c26.5 0 48 21.49 48 48v352c0 26.5-21.5 48-48 48h-32c-26.5 0-48-21.5-48-48V80zM0 272c0-26.5 21.49-48 48-48h32c26.5 0 48 21.5 48 48v160c0 26.5-21.5 48-48 48H48c-26.51 0-48-21.5-48-48V272zM400 96c26.5 0 48 21.5 48 48v288c0 26.5-21.5 48-48 48h-32c-26.5 0-48-21.5-48-48V144c0-26.5 21.5-48 48-48h32z"/></svg></span> Train it</a></p>
|
||||
<p><a class="md-button md-button--secondary" href="deploy/"><span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M6 20a6 6 0 0 1-6-6c0-3.09 2.34-5.64 5.35-5.96A7.496 7.496 0 0 1 12 4a7.5 7.5 0 0 1 7.35 6A5.02 5.02 0 0 1 24 15a5 5 0 0 1-5 5H6M9.09 8.4 4.5 13l4.59 4.6 1.41-1.42L7.32 13l3.18-3.18L9.09 8.4m5.82 0L13.5 9.82 16.68 13l-3.18 3.18 1.41 1.42L19.5 13l-4.59-4.6Z"/></svg></span> Deploy it</a></p>
|
||||
<p><a class="md-button md-button--primary" href="deploy/"><span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M6 20a6 6 0 0 1-6-6c0-3.09 2.34-5.64 5.35-5.96A7.496 7.496 0 0 1 12 4a7.5 7.5 0 0 1 7.35 6A5.02 5.02 0 0 1 24 15a5 5 0 0 1-5 5H6M9.09 8.4 4.5 13l4.59 4.6 1.41-1.42L7.32 13l3.18-3.18L9.09 8.4m5.82 0L13.5 9.82 16.68 13l-3.18 3.18 1.41 1.42L19.5 13l-4.59-4.6Z"/></svg></span> Deploy it</a></p>
|
||||
</div>
|
||||
<h2 id="summary">Summary<a class="headerlink" href="#summary" title="Permanent link">#</a></h2>
|
||||
<h3 id="the-training-notebook">The <a href="train/">training notebook</a><a class="headerlink" href="#the-training-notebook" title="Permanent link">#</a></h3>
|
||||
<p>We load and preprocess the dataset while relying on <code>great_ai.utilities.clean</code> for the heavy-lifting. Additionally, the preprocessing is parallelised using <code>great_ai.utilities.simple_parallel_map</code>.</p>
|
||||
<p>After training and evaluating a model, it is exported using <code>great_ai.save_model</code>.</p>
|
||||
<p>We load and preprocess the dataset while relying on [great_ai.utilities.clean][] for the heavy-lifting. Additionally, the preprocessing is parallelised using <a class="autorefs autorefs-internal" href="../reference/utilities/#great_ai.utilities.parallel_map.simple_parallel_map.simple_parallel_map">great_ai.utilities.simple_parallel_map</a></p>
|
||||
<p>After training and evaluating a model, it is exported using <a class="autorefs autorefs-internal" href="../reference/#great_ai.save_model">great_ai.save_model</a>.</p>
|
||||
<details class="tip">
|
||||
<summary>Using the cloud</summary>
|
||||
<summary>Remote storage</summary>
|
||||
<p>To store your model remotely, you need to set your credentials before calling <code>save_model</code>.</p>
|
||||
<p>For example, to use <a href="https://aws.amazon.com/s3/">AWS S3</a>:
|
||||
<div class="highlight"><pre><span></span><code><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="kn">from</span> <span class="nn">great_ai.large_file</span> <span class="kn">import</span> <span class="n">LargeFileS3</span>
|
||||
|
|
@ -663,7 +678,7 @@
|
|||
</code></pre></div></p>
|
||||
</details>
|
||||
<h3 id="the-deployment-notebook">The <a href="deploy/">deployment notebook</a><a class="headerlink" href="#the-deployment-notebook" title="Permanent link">#</a></h3>
|
||||
<p>We create an inference function that can be hardened by wrapping it in a <code>great_ai.GreatAI</code> instance.</p>
|
||||
<p>We create an inference function that can be hardened by wrapping it in a <a class="autorefs autorefs-internal" href="../reference/#great_ai.GreatAI">GreatAI</a> instance.</p>
|
||||
<div class="highlight"><pre><span></span><code><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="kn">from</span> <span class="nn">great_ai</span> <span class="kn">import</span> <span class="n">GreatAI</span><span class="p">,</span> <span class="n">use_model</span>
|
||||
<a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a><span class="kn">from</span> <span class="nn">great_ai.utilities</span> <span class="kn">import</span> <span class="n">clean</span>
|
||||
<a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a>
|
||||
|
|
@ -674,7 +689,7 @@
|
|||
<a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a> <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">inputs</span><span class="p">)[</span><span class="mi">0</span><span class="p">])</span>
|
||||
</code></pre></div>
|
||||
<ol>
|
||||
<li><code>@use_model</code> loads and injects your model into the <code>predict_domain</code> function's <code>model</code> argument.
|
||||
<li><a class="autorefs autorefs-internal" href="../reference/#great_ai.use_model">@use_model</a> loads and injects your model into the <code>predict_domain</code> function's <code>model</code> argument.
|
||||
You can freely reference it knowing that it is always given to the function.</li>
|
||||
</ol>
|
||||
<p>Finally, we deploy the model, inference function, and the GreatAI wrapping all of these. For that we either use: <code>great-ai deploy.ipynb</code> or build a Docker image.</p>
|
||||
|
|
@ -684,7 +699,7 @@
|
|||
<small>
|
||||
|
||||
Last update:
|
||||
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 9, 2022</span>
|
||||
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 10, 2022</span>
|
||||
|
||||
|
||||
</small>
|
||||
|
|
@ -741,10 +756,37 @@
|
|||
<div class="md-footer-meta__inner md-grid">
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<div class="md-copyright">
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<div class="md-copyright__highlight">
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GNU General Public License v3
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</div>
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|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg>
|
||||
</a>
|
||||
|
||||
|
||||
|
||||
<a href="https://hub.docker.com/repository/docker/schmelczera/great-ai" target="_blank" rel="noopener" title="great-ai on DockerHub" class="md-social__link">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M349.9 236.3h-66.1v-59.4h66.1v59.4zm0-204.3h-66.1v60.7h66.1V32zm78.2 144.8H362v59.4h66.1v-59.4zm-156.3-72.1h-66.1v60.1h66.1v-60.1zm78.1 0h-66.1v60.1h66.1v-60.1zm276.8 100c-14.4-9.7-47.6-13.2-73.1-8.4-3.3-24-16.7-44.9-41.1-63.7l-14-9.3-9.3 14c-18.4 27.8-23.4 73.6-3.7 103.8-8.7 4.7-25.8 11.1-48.4 10.7H2.4c-8.7 50.8 5.8 116.8 44 162.1 37.1 43.9 92.7 66.2 165.4 66.2 157.4 0 273.9-72.5 328.4-204.2 21.4.4 67.6.1 91.3-45.2 1.5-2.5 6.6-13.2 8.5-17.1l-13.3-8.9zm-511.1-27.9h-66v59.4h66.1v-59.4zm78.1 0h-66.1v59.4h66.1v-59.4zm78.1 0h-66.1v59.4h66.1v-59.4zm-78.1-72.1h-66.1v60.1h66.1v-60.1z"/></svg>
|
||||
</a>
|
||||
|
||||
|
||||
|
||||
<a href="https://pypi.org/project/great-ai" target="_blank" rel="noopener" title="great-ai on PyPI" class="md-social__link">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M439.8 200.5c-7.7-30.9-22.3-54.2-53.4-54.2h-40.1v47.4c0 36.8-31.2 67.8-66.8 67.8H172.7c-29.2 0-53.4 25-53.4 54.3v101.8c0 29 25.2 46 53.4 54.3 33.8 9.9 66.3 11.7 106.8 0 26.9-7.8 53.4-23.5 53.4-54.3v-40.7H226.2v-13.6h160.2c31.1 0 42.6-21.7 53.4-54.2 11.2-33.5 10.7-65.7 0-108.6zM286.2 404c11.1 0 20.1 9.1 20.1 20.3 0 11.3-9 20.4-20.1 20.4-11 0-20.1-9.2-20.1-20.4.1-11.3 9.1-20.3 20.1-20.3zM167.8 248.1h106.8c29.7 0 53.4-24.5 53.4-54.3V91.9c0-29-24.4-50.7-53.4-55.6-35.8-5.9-74.7-5.6-106.8.1-45.2 8-53.4 24.7-53.4 55.6v40.7h106.9v13.6h-147c-31.1 0-58.3 18.7-66.8 54.2-9.8 40.7-10.2 66.1 0 108.6 7.6 31.6 25.7 54.2 56.8 54.2H101v-48.8c0-35.3 30.5-66.4 66.8-66.4zm-6.7-142.6c-11.1 0-20.1-9.1-20.1-20.3.1-11.3 9-20.4 20.1-20.4 11 0 20.1 9.2 20.1 20.4s-9 20.3-20.1 20.3z"/></svg>
|
||||
</a>
|
||||
|
||||
</div>
|
||||
|
|
|
|||
|
|
@ -1,16 +1,19 @@
|
|||
# Train and deploy a SOTA model
|
||||
|
||||
Let's see GreatAI in action by going over the life-cycle of a simple service.
|
||||
|
||||
## Objectives
|
||||
|
||||
1. You will see how the [great_ai.utilities][] can integrate into your Data Science workflow.
|
||||
2. You will use [great_ai.large_file][] to version and store your trained model.
|
||||
3. You will use [GreatAI][great_ai.GreatAI] to prepare your model for a robust and responsible deployment.
|
||||
|
||||
## Overview
|
||||
|
||||
You are going to train a field of study (domain) classifier for scientific sentences. The exact task was proposed by the [SciBERT paper](https://arxiv.org/abs/1903.10676) in which SciBERT [achieved an F1-score of 0.6571](https://paperswithcode.com/sota/sentence-classification-on-paper-field). We are going to outperform it using a trivial text classification model: a [Linear SVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html).
|
||||
|
||||
We use the same synthetic dataset derived from the [Microsoft Academic Graph](https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/). The dataset is [available here](https://github.com/allenai/scibert/tree/master/data/text_classification/mag).
|
||||
|
||||
## Objectives
|
||||
|
||||
1. You will see how the `great_ai.utilities` can integrate into your Data Science workflow.
|
||||
2. You will use `great_ai.large_file` to version and store your trained model
|
||||
3. You will use `GreatAI` to prepare your model for a robust and responsible deployment
|
||||
|
||||
!!! success
|
||||
You are ready to start the tutorial. Feel free to come back to the [summary](#summary) section once you're finished.
|
||||
|
|
@ -18,7 +21,7 @@ We use the same synthetic dataset derived from the [Microsoft Academic Graph](ht
|
|||
<div style="display: flex; justify-content: space-evenly;" markdown>
|
||||
[:fontawesome-solid-chart-simple: Train it](train.ipynb){ .md-button .md-button--primary }
|
||||
|
||||
[:material-cloud-tags: Deploy it](deploy.ipynb){ .md-button .md-button--secondary }
|
||||
[:material-cloud-tags: Deploy it](deploy.ipynb){ .md-button .md-button--primary }
|
||||
</div>
|
||||
|
||||
|
||||
|
|
@ -26,11 +29,11 @@ We use the same synthetic dataset derived from the [Microsoft Academic Graph](ht
|
|||
|
||||
### The [training notebook](train.ipynb)
|
||||
|
||||
We load and preprocess the dataset while relying on `great_ai.utilities.clean` for the heavy-lifting. Additionally, the preprocessing is parallelised using `great_ai.utilities.simple_parallel_map`.
|
||||
We load and preprocess the dataset while relying on [great_ai.utilities.clean][] for the heavy-lifting. Additionally, the preprocessing is parallelised using [great_ai.utilities.simple_parallel_map][]
|
||||
|
||||
After training and evaluating a model, it is exported using `great_ai.save_model`.
|
||||
After training and evaluating a model, it is exported using [great_ai.save_model][].
|
||||
|
||||
??? tip "Using the cloud"
|
||||
??? tip "Remote storage"
|
||||
To store your model remotely, you need to set your credentials before calling `save_model`.
|
||||
|
||||
For example, to use [AWS S3](https://aws.amazon.com/s3/):
|
||||
|
|
@ -51,7 +54,7 @@ After training and evaluating a model, it is exported using `great_ai.save_model
|
|||
|
||||
### The [deployment notebook](deploy.ipynb)
|
||||
|
||||
We create an inference function that can be hardened by wrapping it in a `great_ai.GreatAI` instance.
|
||||
We create an inference function that can be hardened by wrapping it in a [GreatAI][great_ai.GreatAI] instance.
|
||||
|
||||
```python
|
||||
from great_ai import GreatAI, use_model
|
||||
|
|
@ -64,7 +67,7 @@ def predict_domain(sentence, model):
|
|||
return str(model.predict(inputs)[0])
|
||||
```
|
||||
|
||||
1. `@use_model` loads and injects your model into the `predict_domain` function's `model` argument.
|
||||
1. [@use_model][great_ai.use_model] loads and injects your model into the `predict_domain` function's `model` argument.
|
||||
You can freely reference it knowing that it is always given to the function.
|
||||
|
||||
Finally, we deploy the model, inference function, and the GreatAI wrapping all of these. For that we either use: `great-ai deploy.ipynb` or build a Docker image.
|
||||
|
|
|
|||
|
|
@ -58,7 +58,7 @@
|
|||
|
||||
|
||||
|
||||
<body dir="ltr" data-md-color-scheme="default" data-md-color-primary="" data-md-color-accent="">
|
||||
<body dir="ltr" data-md-color-scheme="default" data-md-color-primary="light-blue" data-md-color-accent="">
|
||||
|
||||
|
||||
|
||||
|
|
@ -114,19 +114,19 @@
|
|||
|
||||
|
||||
|
||||
<input class="md-option" data-md-color-media="" data-md-color-scheme="default" data-md-color-primary="" data-md-color-accent="" aria-label="Switch to dark mode" type="radio" name="__palette" id="__palette_1">
|
||||
<input class="md-option" data-md-color-media="(prefers-color-scheme: light)" data-md-color-scheme="default" data-md-color-primary="light-blue" data-md-color-accent="" aria-label="Switch to dark mode" type="radio" name="__palette" id="__palette_1">
|
||||
|
||||
<label class="md-header__button md-icon" title="Switch to dark mode" for="__palette_2" hidden>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a4 4 0 0 0-4 4 4 4 0 0 0 4 4 4 4 0 0 0 4-4 4 4 0 0 0-4-4m0 10a6 6 0 0 1-6-6 6 6 0 0 1 6-6 6 6 0 0 1 6 6 6 6 0 0 1-6 6m8-9.31V4h-4.69L12 .69 8.69 4H4v4.69L.69 12 4 15.31V20h4.69L12 23.31 15.31 20H20v-4.69L23.31 12 20 8.69Z"/></svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2a7 7 0 0 0-7 7c0 2.38 1.19 4.47 3 5.74V17a1 1 0 0 0 1 1h6a1 1 0 0 0 1-1v-2.26c1.81-1.27 3-3.36 3-5.74a7 7 0 0 0-7-7M9 21a1 1 0 0 0 1 1h4a1 1 0 0 0 1-1v-1H9v1Z"/></svg>
|
||||
</label>
|
||||
|
||||
|
||||
|
||||
|
||||
<input class="md-option" data-md-color-media="" data-md-color-scheme="slate" data-md-color-primary="" data-md-color-accent="" aria-label="Switch to light mode" type="radio" name="__palette" id="__palette_2">
|
||||
<input class="md-option" data-md-color-media="(prefers-color-scheme: dark)" data-md-color-scheme="slate" data-md-color-primary="light-blue" data-md-color-accent="" aria-label="Switch to light mode" type="radio" name="__palette" id="__palette_2">
|
||||
|
||||
<label class="md-header__button md-icon" title="Switch to light mode" for="__palette_1" hidden>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 18c-.89 0-1.74-.2-2.5-.55C11.56 16.5 13 14.42 13 12c0-2.42-1.44-4.5-3.5-5.45C10.26 6.2 11.11 6 12 6a6 6 0 0 1 6 6 6 6 0 0 1-6 6m8-9.31V4h-4.69L12 .69 8.69 4H4v4.69L.69 12 4 15.31V20h4.69L12 23.31 15.31 20H20v-4.69L23.31 12 20 8.69Z"/></svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2a7 7 0 0 1 7 7c0 2.38-1.19 4.47-3 5.74V17a1 1 0 0 1-1 1H9a1 1 0 0 1-1-1v-2.26C6.19 13.47 5 11.38 5 9a7 7 0 0 1 7-7M9 21v-1h6v1a1 1 0 0 1-1 1h-4a1 1 0 0 1-1-1m3-17a5 5 0 0 0-5 5c0 2.05 1.23 3.81 3 4.58V16h4v-2.42c1.77-.77 3-2.53 3-4.58a5 5 0 0 0-5-5Z"/></svg>
|
||||
</label>
|
||||
|
||||
|
||||
|
|
@ -279,7 +279,7 @@
|
|||
|
||||
<li class="md-nav__item">
|
||||
<a href="../" class="md-nav__link">
|
||||
Train and deploy a SOTA model
|
||||
Tutorial overview
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
|
@ -394,24 +394,46 @@
|
|||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../how-to-guides/create-service/" class="md-nav__link">
|
||||
How to instantiate a GreatAI service
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item md-nav__item--nested">
|
||||
|
||||
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_3_1" type="checkbox" id="__nav_3_1" >
|
||||
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_4" type="checkbox" id="__nav_4" >
|
||||
|
||||
|
||||
|
||||
|
||||
<label class="md-nav__link" for="__nav_3_1">
|
||||
Simple AI lifecycle with classification
|
||||
<label class="md-nav__link" for="__nav_4">
|
||||
Reference
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
</label>
|
||||
|
||||
<nav class="md-nav" aria-label="Simple AI lifecycle with classification" data-md-level="2">
|
||||
<label class="md-nav__title" for="__nav_3_1">
|
||||
<nav class="md-nav" aria-label="Reference" data-md-level="1">
|
||||
<label class="md-nav__title" for="__nav_4">
|
||||
<span class="md-nav__icon md-icon"></span>
|
||||
Simple AI lifecycle with classification
|
||||
Reference
|
||||
</label>
|
||||
<ul class="md-nav__list" data-md-scrollfix>
|
||||
|
||||
|
|
@ -420,63 +442,6 @@
|
|||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../simple/data/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../simple/train/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../simple/deploy/" class="md-nav__link">
|
||||
Train a domain classifier on the semantic scholar dataset
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/" class="md-nav__link">
|
||||
Reference
|
||||
|
|
@ -484,6 +449,55 @@
|
|||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/utilities/" class="md-nav__link">
|
||||
Utilities
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/large-file/" class="md-nav__link">
|
||||
LargeFile
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="../../reference/views/" class="md-nav__link">
|
||||
View models
|
||||
</a>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
</li>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -2244,7 +2258,7 @@ save_model(model, key="my-domain-predictor")</div>
|
|||
<nav class="md-footer__inner md-grid" aria-label="Footer" >
|
||||
|
||||
|
||||
<a href="../" class="md-footer__link md-footer__link--prev" aria-label="Previous: Train and deploy a SOTA model" rel="prev">
|
||||
<a href="../" class="md-footer__link md-footer__link--prev" aria-label="Previous: Tutorial overview" rel="prev">
|
||||
<div class="md-footer__button md-icon">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
|
||||
</div>
|
||||
|
|
@ -2253,7 +2267,7 @@ save_model(model, key="my-domain-predictor")</div>
|
|||
<span class="md-footer__direction">
|
||||
Previous
|
||||
</span>
|
||||
Train and deploy a SOTA model
|
||||
Tutorial overview
|
||||
</div>
|
||||
</div>
|
||||
</a>
|
||||
|
|
@ -2280,10 +2294,37 @@ save_model(model, key="my-domain-predictor")</div>
|
|||
<div class="md-footer-meta__inner md-grid">
|
||||
<div class="md-copyright">
|
||||
|
||||
<div class="md-copyright__highlight">
|
||||
GNU General Public License v3
|
||||
</div>
|
||||
|
||||
Made with
|
||||
<a href="https://squidfunk.github.io/mkdocs-material/" target="_blank" rel="noopener">
|
||||
Material for MkDocs
|
||||
|
||||
</div>
|
||||
|
||||
<div class="md-social">
|
||||
|
||||
|
||||
|
||||
<a href="https://schmelczer.dev" target="_blank" rel="noopener" title="about the author" class="md-social__link">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="m414.8 40.79-128 448.01c-4.9 17-22.6 26.8-39.6 22-17-4.9-26.8-22.6-22-39.6l128-447.99c4.9-16.994 22.6-26.834 39.6-21.978 17 4.855 26.8 22.568 22 39.558zm103.8 80.61 112 112c12.5 12.5 12.5 32.7 0 45.2l-112 112c-12.5 12.5-32.7 12.5-45.2 0s-12.5-32.7 0-45.2l89.3-89.4-89.3-89.4c-12.5-12.5-12.5-32.7 0-45.2s32.7-12.5 45.2 0zm-352 45.2L77.25 256l89.35 89.4c12.5 12.5 12.5 32.7 0 45.2s-32.7 12.5-45.2 0L9.372 278.6c-12.496-12.5-12.496-32.7 0-45.2l112.028-112c12.5-12.5 32.7-12.5 45.2 0s12.5 32.7 0 45.2z"/></svg>
|
||||
</a>
|
||||
|
||||
|
||||
|
||||
<a href="https://github.com/schmelczer/great-ai" target="_blank" rel="noopener" title="great-ai on Github" class="md-social__link">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg>
|
||||
</a>
|
||||
|
||||
|
||||
|
||||
<a href="https://hub.docker.com/repository/docker/schmelczera/great-ai" target="_blank" rel="noopener" title="great-ai on DockerHub" class="md-social__link">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M349.9 236.3h-66.1v-59.4h66.1v59.4zm0-204.3h-66.1v60.7h66.1V32zm78.2 144.8H362v59.4h66.1v-59.4zm-156.3-72.1h-66.1v60.1h66.1v-60.1zm78.1 0h-66.1v60.1h66.1v-60.1zm276.8 100c-14.4-9.7-47.6-13.2-73.1-8.4-3.3-24-16.7-44.9-41.1-63.7l-14-9.3-9.3 14c-18.4 27.8-23.4 73.6-3.7 103.8-8.7 4.7-25.8 11.1-48.4 10.7H2.4c-8.7 50.8 5.8 116.8 44 162.1 37.1 43.9 92.7 66.2 165.4 66.2 157.4 0 273.9-72.5 328.4-204.2 21.4.4 67.6.1 91.3-45.2 1.5-2.5 6.6-13.2 8.5-17.1l-13.3-8.9zm-511.1-27.9h-66v59.4h66.1v-59.4zm78.1 0h-66.1v59.4h66.1v-59.4zm78.1 0h-66.1v59.4h66.1v-59.4zm-78.1-72.1h-66.1v60.1h66.1v-60.1z"/></svg>
|
||||
</a>
|
||||
|
||||
|
||||
|
||||
<a href="https://pypi.org/project/great-ai" target="_blank" rel="noopener" title="great-ai on PyPI" class="md-social__link">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M439.8 200.5c-7.7-30.9-22.3-54.2-53.4-54.2h-40.1v47.4c0 36.8-31.2 67.8-66.8 67.8H172.7c-29.2 0-53.4 25-53.4 54.3v101.8c0 29 25.2 46 53.4 54.3 33.8 9.9 66.3 11.7 106.8 0 26.9-7.8 53.4-23.5 53.4-54.3v-40.7H226.2v-13.6h160.2c31.1 0 42.6-21.7 53.4-54.2 11.2-33.5 10.7-65.7 0-108.6zM286.2 404c11.1 0 20.1 9.1 20.1 20.3 0 11.3-9 20.4-20.1 20.4-11 0-20.1-9.2-20.1-20.4.1-11.3 9.1-20.3 20.1-20.3zM167.8 248.1h106.8c29.7 0 53.4-24.5 53.4-54.3V91.9c0-29-24.4-50.7-53.4-55.6-35.8-5.9-74.7-5.6-106.8.1-45.2 8-53.4 24.7-53.4 55.6v40.7h106.9v13.6h-147c-31.1 0-58.3 18.7-66.8 54.2-9.8 40.7-10.2 66.1 0 108.6 7.6 31.6 25.7 54.2 56.8 54.2H101v-48.8c0-35.3 30.5-66.4 66.8-66.4zm-6.7-142.6c-11.1 0-20.1-9.1-20.1-20.3.1-11.3 9-20.4 20.1-20.4 11 0 20.1 9.2 20.1 20.4s-9 20.3-20.1 20.3z"/></svg>
|
||||
</a>
|
||||
|
||||
</div>
|
||||
|
|
|
|||
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Add table
Add a link
Reference in a new issue