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Update login.html to fix heading tag and update hyperlinks
Browse files- login.html +9 -9
login.html
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@@ -40,24 +40,24 @@
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<div class="left-align">
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<h2>What's covered?</h2>
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<p>Currently this Space has notebooks covering the following topics:</p>
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<
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<p>
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A
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fine-tuning a sentence similarity model. These notebooks cover:
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</p>
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<ul>
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<li>
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How to do structured generation using the
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<a href="https://github.com/outlines-dev/outlines">outlines</a> library
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to have more control on the outputs generated by a LLM.
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</li>
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<li>
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How to use
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<a href="https://docs.llamaindex.ai/en/stable/">Llama-index</a> to chunk
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texts to fit into the context length of sentence embedding models.
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-
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-
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Using <a href="https://github.com/vllm-project/vllm">vLLM</a> to
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efficiently create a dataset that can be used to fine-tune a Sentence
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similarity model.
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</li>
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<div class="center-align">
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<h2>Using the Space</h2>
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<p>
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To use this Space, you should <a href="https://huggingface.co/spaces/davanstrien/synthetic-data-workshop?duplicate=true">duplicate it</a>.
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To ensure your work is saved it's suggested to enable persistent storage for your Space.
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To start, you may want to use a smaller GPU like the T4 and switch out to a bigger GPU when you want to run larger LLMs or generate more data.
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<b>Reminder</b> you can preview the notebooks in the Space without running
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them. You can find the Jupyter Notebooks in the <a href="https://huggingface.co/spaces/davanstrien/synthetic-data-workshop/tree/main/notebooks">notebooks folder </a>.
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</p>
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</p>
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<h2>Duplicate the Space to run your own instance</h2>
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<div class="left-align">
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<h2>What's covered?</h2>
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<p>Currently this Space has notebooks covering the following topics:</p>
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<h3>Creating synthetic text similarity datasets</h3>
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<p>
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A set of notebooks covering the steps for creating a synthetic dataset for
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fine-tuning a sentence similarity model. These notebooks cover:
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</p>
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<ul>
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<li>
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How to do structured generation using the
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+
<a href="https://github.com/outlines-dev/outlines" target="_blank">outlines</a> library
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to have more control on the outputs generated by a LLM.
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</li>
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<li>
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How to use
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+
<a href="https://docs.llamaindex.ai/en/stable/" target="_blank">Llama-index</a> to chunk
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texts to fit into the context length of sentence embedding models.
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+
</li>
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+
<li>
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+
Using <a href="https://github.com/vllm-project/vllm" target="_blank">vLLM</a> to
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efficiently create a dataset that can be used to fine-tune a Sentence
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similarity model.
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</li>
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<div class="center-align">
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<h2>Using the Space</h2>
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<p>
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+
To use this Space, you should <a href="https://huggingface.co/spaces/davanstrien/synthetic-data-workshop?duplicate=true" target="_blank">duplicate it</a>.
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To ensure your work is saved it's suggested to enable persistent storage for your Space.
|
| 71 |
To start, you may want to use a smaller GPU like the T4 and switch out to a bigger GPU when you want to run larger LLMs or generate more data.
|
| 72 |
<b>Reminder</b> you can preview the notebooks in the Space without running
|
| 73 |
+
them. You can find the Jupyter Notebooks in the <a href="https://huggingface.co/spaces/davanstrien/synthetic-data-workshop/tree/main/notebooks" target="_blank">notebooks folder </a>.
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</p>
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</p>
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<h2>Duplicate the Space to run your own instance</h2>
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