Instructions to use danielle2035/intel-classifier-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use danielle2035/intel-classifier-models 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://danielle2035/intel-classifier-models") - Notebooks
- Google Colab
- Kaggle
Download models/model_best.keras from danielle2035/intel-classifier-models: direct link, hf CLI and curl.
- Browser
- Download file 5.16 MB
-
https://huggingface.co/danielle2035/intel-classifier-models/resolve/main/models/model_best.keras
- Command line
-
hf download hf://danielle2035/intel-classifier-models/models/model_best.keras
-
curl -L -o model_best.keras https://huggingface.co/danielle2035/intel-classifier-models/resolve/main/models/model_best.keras
5.16 MB
- Xet hash:
- b556aacc4890d41c1f29e0f4101e59bbd1038c83fc0564d93cf83d10e35af9b2
- Size of remote file:
- 5.16 MB
- SHA256:
- 1b57e8ec14d2c7fa3f168d95fdf02e98d6a5626ae5648975d98d0cb265aed8a9
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