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<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<script src="https://cdn.tailwindcss.com"></script>
<script src="./dist/app.js"></script>
</head>
<body>
<div class="container mx-auto pt-8">
<h1 class="text-3xl font-bold">
<span
class="bg-clip-text text-transparent bg-gradient-to-r from-pink-500 to-violet-500"
>
How to push a ML model to the HF Hub from your browser</span
>
</h1>
<p class="mt-8">
Here is a sample ML model. We pick the TensorFlow.js version of
Mobilenet as an example, but any model would work similarly:
</p>
<div class="mt-6">
<a
class="bg-gray-200 inline-block px-2 py-0 rounded"
href="./mobilenet/model.json"
>
<svg
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
width="1em"
height="1em"
viewBox="0 0 32 32"
class="inline"
>
<path
fill="currentColor"
d="m25.7 9.3l-7-7c-.2-.2-.4-.3-.7-.3H8c-1.1 0-2 .9-2 2v24c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V10c0-.3-.1-.5-.3-.7zM18 4.4l5.6 5.6H18V4.4zM24 28H8V4h8v6c0 1.1.9 2 2 2h6v16z"
></path>
<path fill="currentColor" d="M10 22h12v2H10zm0-6h12v2H10z"></path>
</svg>
<code class="ml-2 text-gray-800">model.json</code>
</a>
<a
class="bg-gray-200 inline-block px-2 py-0 rounded"
href="./mobilenet/group1-shard1of2"
>
<svg
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
width="1em"
height="1em"
viewBox="0 0 32 32"
class="inline"
>
<path
fill="currentColor"
d="m25.7 9.3l-7-7c-.2-.2-.4-.3-.7-.3H8c-1.1 0-2 .9-2 2v24c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V10c0-.3-.1-.5-.3-.7zM18 4.4l5.6 5.6H18V4.4zM24 28H8V4h8v6c0 1.1.9 2 2 2h6v16z"
></path>
<path fill="currentColor" d="M10 22h12v2H10zm0-6h12v2H10z"></path>
</svg>
<code class="ml-2 text-gray-800">group1-shard1of2</code>
</a>
<a
class="bg-gray-200 inline-block px-2 py-0 rounded"
href="./mobilenet/group1-shard2of2"
>
<svg
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
width="1em"
height="1em"
viewBox="0 0 32 32"
class="inline"
>
<path
fill="currentColor"
d="m25.7 9.3l-7-7c-.2-.2-.4-.3-.7-.3H8c-1.1 0-2 .9-2 2v24c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V10c0-.3-.1-.5-.3-.7zM18 4.4l5.6 5.6H18V4.4zM24 28H8V4h8v6c0 1.1.9 2 2 2h6v16z"
></path>
<path fill="currentColor" d="M10 22h12v2H10zm0-6h12v2H10z"></path>
</svg>
<code class="ml-2 text-gray-800">group1-shard2of2</code>
</a>
</div>
<p class="mt-8">
BTW, the TFJS demo of this model is <a href="https://storage.googleapis.com/tfjs-models/demos/mobilenet/index.html" class="underline" target="_blank">here</a>.
</p>
<p class="mt-8">
Now that we have the model files, we need to get a HF user's access token.
You can create a token at <a target="_blank" href="https://huggingface.co/settings/tokens" class="underline text-blue-500">hf.co/settings/tokens</a> (needs write access).
</p>
<input type="text" id="token" class="rounded border-2 border-blue-500 shadow-md px-3 py-2 w-96 mt-6" placeholder="token" required />
<p class="mt-8">
Finally, pick a repo name for your model:
</p>
<input type="text" id="repo_name" class="rounded border-2 border-blue-500 shadow-md px-3 py-2 w-96 mt-6" placeholder="repo name" required />
<p class="mt-8">
Press Upload to create a repo, and upload your files. It will also upload a model card for your model (you can then update it on your model page):
</p>
<button id="submit" class="my-8 bg-green-500 rounded py-3 px-5 text-white shadow-md">Upload</button>
<p class="text-gray-400 text-sm">Output logs</p>
<pre id="logs" class="bg-gray-100 rounded p-3 mb-8 text-sm">Output will be here</pre>
</div>
</body>
</html>
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