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 saved_model.pb from emresvd/u280: direct link, hf CLI and curl.
- Browser
- Download file 271 kB
-
https://huggingface.co/emresvd/u280/resolve/main/saved_model.pb
- Command line
-
hf download hf://emresvd/u280/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/emresvd/u280/resolve/main/saved_model.pb
271 kB
- Xet hash:
- 017646b38d9fcd2f264cf532cca118f866b70cf9e401cd60fad0ac5efa4b2c4b
- Size of remote file:
- 271 kB
- SHA256:
- 03f6eec0124e02f831824d51f896a4d5b029d2312f9460c2528e96bf4ce9bb85
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