Instructions to use ShaharAdar/best-model-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ShaharAdar/best-model-try 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://ShaharAdar/best-model-try") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from ShaharAdar/best-model-try: direct link, hf CLI and curl.
- Browser
- Download file 3 MB
-
https://huggingface.co/ShaharAdar/best-model-try/resolve/main/saved_model.pb
- Command line
-
hf download hf://ShaharAdar/best-model-try/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ShaharAdar/best-model-try/resolve/main/saved_model.pb
3 MB
- Xet hash:
- 83d9551e14dcafe7db3cfcbc1edc69d7523fc821f0bf5e912541ea0c5415ac9a
- Size of remote file:
- 3 MB
- SHA256:
- 973d0c61b01a3babbf1eea1ddf772db7ca141ffb44c10c143c79eaec2d8ae22f
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