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README.md
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@@ -75,10 +75,29 @@ You can collaborate with your organization, upload and showcase your own models
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!pip install huggingface-hub
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!huggingface-cli login
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from huggingface_hub.keras_mixin import push_to_hub_keras
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push_to_hub_keras(model = model, repo_url = "https://huggingface.co/your-username/
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</pre>
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</div>
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</p>
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<div class="lg:col-span-1">
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<p class="mb-4">
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If you'd like to upload 🤗Transformers based Keras checkpoints and let us host your metrics interactively in the repo in with TensorBoard, use <a
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!pip install huggingface-hub
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!huggingface-cli login
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from huggingface_hub.keras_mixin import push_to_hub_keras
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push_to_hub_keras(model = model, repo_url = "https://huggingface.co/your-username/your-awesome-model")
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</pre>
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</div>
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</p>
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<div class="lg:col-span-3">
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<p class="mb-4">
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To load Keras models from the 🤗Hub, use <a
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href="https://github.com/huggingface/huggingface_hub/blob/d3ba39a69bb5570eb7f31ce76a19b53fdc89728b/src/huggingface_hub/keras_mixin.py#L56"
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>from_pretrained_keras</a
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>
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function.
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</p>
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<div
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class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
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>
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<pre
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class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
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!pip install huggingface-hub
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!huggingface-cli login
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from huggingface_hub.keras_mixin import from_pretrained_keras
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from_pretrained_keras("your-username/your-awesome-model)
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</pre>
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</div>
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<div class="lg:col-span-1">
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<p class="mb-4">
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If you'd like to upload 🤗Transformers based Keras checkpoints and let us host your metrics interactively in the repo in with TensorBoard, use <a
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