Instructions to use m0kr4n3/model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use m0kr4n3/model3 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://m0kr4n3/model3") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from m0kr4n3/model3: direct link, hf CLI and curl.
- Browser
- Download file 55 Bytes
-
https://huggingface.co/m0kr4n3/model3/resolve/main/fingerprint.pb
- Command line
-
hf download hf://m0kr4n3/model3/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/m0kr4n3/model3/resolve/main/fingerprint.pb
55 Bytes
- Xet hash:
- cdae4af6dd2e98d15f8a18279eeff8d03f98f18176bde7215d79df1fd20cb326
- Size of remote file:
- 55 Bytes
- SHA256:
- 0ae30dbae2bc3af0b51b91ab78e2160544c9430024faf06a095b0f8c8436aea6
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