Instructions to use emresvd/u280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use emresvd/u280 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://emresvd/u280") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from emresvd/u280: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/emresvd/u280/resolve/main/fingerprint.pb
- Command line
-
hf download hf://emresvd/u280/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/emresvd/u280/resolve/main/fingerprint.pb
56 Bytes
- Xet hash:
- 6c6c3220105e8c182891a7c9719c155ddfb3d941dede30f4f5248cc3322df368
- Size of remote file:
- 56 Bytes
- SHA256:
- 1ce4ee2e57eb80792d46d85fa85c8c220f386eb98661a38e84f6f816ddd88118
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