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---
title: README
emoji: ❤️
colorFrom: red
colorTo: red
sdk: streamlit
app_file: app.py
pinned: false
---
<div class="lg:col-span-3">
<p class="mb-4">
Hugging Face makes it easy to collaboratively build and showcase your <a
href="https://keras.io">Keras</a
>
models!<br />
You can collaborate with your organization, upload and showcase your own models in your profile, or join us in this organization to demo Keras examples! ❤️
</p>
</div>
<a href="https://keras.io/" class="block overflow-hidden group">
<div
class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center bg-[#FA8072]"
>
<img alt="" src="https://huggingface.co/spaces/keras-io/README/resolve/main/keras-filter.png" class="w-40" />
</div>
<div class="underline">Keras.io</div>
</a>
<a
href="https://github.com/huggingface/huggingface_hub/blob/1f83ed230932128fba8bfe2a7f0c78df66e6e3ee/src/huggingface_hub/keras_mixin.py#L60"
class="block overflow-hidden group"
>
<div
class="w-full h-40 mb-2 bg-gray-900 group-hover:bg-gray-850 rounded-lg flex items-start justify-start overflow-hidden"
>
<img
alt=""
src="https://huggingface.co/spaces/keras-io/README/resolve/main/push_to_hub.png"
class="w-full h-40 object-cover overflow-hidden"
/>
</div>
<div class="underline">Push your Keras models to Hub ❤️ </div>
</a>
<a
href="https://huggingface.co/models?library=keras&sort=downloads"
class="block overflow-hidden group"
>
<div
class="w-full h-40 mb-2 bg-gray-900 group-hover:bg-gray-850 rounded-lg flex items-start justify-start overflow-hidden"
>
<img
alt=""
src="https://huggingface.co/spaces/keras-io/README/resolve/main/keras-hf.png"
class="w-full h-40 object-cover overflow-hidden"
/>
</div>
<div class="underline">Find all Keras models on the 🤗 Hub</div>
</a>
<div class="lg:col-span-3">
<p class="mb-4">
To upload your Keras models to the Hub, you can use the <a
href="https://github.com/huggingface/huggingface_hub/blob/1f83ed230932128fba8bfe2a7f0c78df66e6e3ee/src/huggingface_hub/keras_mixin.py#L60"
>push_to_hub_keras</a
>
function.
</p>
<div
class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
>
<pre
class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
!pip install huggingface-hub
!huggingface-cli login
from huggingface_hub.keras_mixin import push_to_hub_keras
push_to_hub_keras(model = model, repo_url = "https://huggingface.co/your-username/name-of-model")
</pre>
</div>
</p>
<div class="lg:col-span-1">
<p class="mb-4">
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
href="https://huggingface.co/transformers/v4.12.5/_modules/transformers/keras_callbacks.html#PushToHubCallback"
>PushToHubCallback</a
>
like follows:
</p>
<div
class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
>
<pre
class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
!pip install huggingface-hub
!huggingface-cli login
from transformers.keras_callbacks import PushToHubCallback
from tensorflow.keras.callbacks import TensorBoard as TensorboardCallback
tensorboard_callback = TensorBoard(log_dir = "./logs/tensorboard)
push_to_hub_callback = PushToHubCallback(output_dir="./logs", tokenizer=tokenizer,hub_model_id=model_id,)
callbacks = [tensorboard_callback, push_to_hub_callback]
model.fit(..., callbacks=callbacks, ...)
</pre>
</div>
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