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/pytorch_model.pth from danielle2035/intel-classifier-models: direct link, hf CLI and curl.
- Browser
- Download file 4.86 MB
-
https://huggingface.co/danielle2035/intel-classifier-models/resolve/main/models/pytorch_model.pth
- Command line
-
hf download hf://danielle2035/intel-classifier-models/models/pytorch_model.pth
-
curl -L -o pytorch_model.pth https://huggingface.co/danielle2035/intel-classifier-models/resolve/main/models/pytorch_model.pth
4.86 MB
- Xet hash:
- b9fbea63be53bafa8f6f985abe55f914a0cf50071a961cc3d5df3e70e392afae
- Size of remote file:
- 4.86 MB
- SHA256:
- 13d195dc6d7c62d86cc3a039a39f7eef1a119f6e67c1960fd161219635ac31c2
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