Spaces:
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Parent(s):
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chore: Update login.html with login form and styling
Browse files- login.html +132 -0
login.html
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| 1 |
+
{% extends "page.html" %} {% block stylesheet %}
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<style>
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.left-align {
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text-align: left;
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}
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.center-align {
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text-align: center;
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}
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.container {
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margin: 20px auto;
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max-width: 800px;
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}
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+
h2,
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h3,
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h4 {
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margin-top: 20px;
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}
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p {
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line-height: 1.6;
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}
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ul {
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margin-left: 20px;
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}
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</style>
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{% endblock %} {% block site %}
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<div id="jupyter-main-app" class="container">
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<div class="center-align">
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<img
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src="https://huggingface.co/datasets/davanstrien/assets/resolve/main/logo.jpg"
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alt="Space Logo"
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style="width: 75%"
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/>
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<p>
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This Space is designed to provide you with an easy way to get started
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generating synthetic datasets using Spaces compute to host open LLMs. The
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Space comes with a ready-to-go environment and a series of notebooks
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showing various examples of generating synthetic datasets.
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</p>
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</div>
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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">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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</li>
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<li>
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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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+
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</ul>
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</div>
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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, use the duplicate button. You'll want to enable
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persistent storage so you can save your work. To start, you may want to use a smaller GPU like the T4 and switch out to a bigger GPU when you want to use bigger models for generating data.
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</p>
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<h2>Duplicate the Space to run your own instance</h4>
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<h4>The default token is <span style="color: orange">huggingface</span></h4>
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</div>
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{% if login_available %}
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<div class="center-align">
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<form
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action="{{base_url}}login?next={{next}}"
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method="post"
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class="form-inline"
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>
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{{ xsrf_form_html() | safe }} {% if token_available %}
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| 84 |
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<label for="password_input"
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| 85 |
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><strong>{% trans %}Token:{% endtrans %}</strong></label
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>
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{% else %}
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<label for="password_input"
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><strong>{% trans %}Password:{% endtrans %}</strong></label
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>
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{% endif %}
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<input
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type="password"
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name="password"
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id="password_input"
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class="form-control"
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/>
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<button type="submit" class="btn btn-default" id="login_submit">
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{% trans %}Log in{% endtrans %}
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</button>
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</form>
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</div>
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{% else %}
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<div class="center-align">
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<p>
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{% trans %}No login available, you shouldn't be seeing this page.{%
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endtrans %}
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</p>
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</div>
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{% endif %}
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<div class="center-align" style="font-size: 0.8em; color: #888">
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<p>
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This template was created by
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<a href="https://twitter.com/camenduru" target="_blank">camenduru</a> and
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<a href="https://huggingface.co/nateraw" target="_blank">nateraw</a>, with
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contributions of
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<a href="https://huggingface.co/osanseviero" target="_blank"
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| 118 |
+
>osanseviero</a
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>
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and <a href="https://huggingface.co/azzr" target="_blank">azzr</a>
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</p>
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</div>
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{% if message %}
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<div class="row">
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{% for key in message %}
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<div class="message {{key}}">{{message[key]}}</div>
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{% endfor %}
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</div>
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{% endif %} {% if token_available %} {% block token_message %} {% endblock
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token_message %} {% endif %}
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</div>
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{% endblock %} {% block script %} {% endblock %}
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