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 .gitattributes from danielle2035/intel-classifier-models: direct link, hf CLI and curl.
- Browser
- Download file 86 Bytes
-
https://huggingface.co/danielle2035/intel-classifier-models/resolve/main/.gitattributes
- Command line
-
hf download hf://danielle2035/intel-classifier-models/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/danielle2035/intel-classifier-models/resolve/main/.gitattributes
86 Bytes
| *.keras filter=lfs diff=lfs merge=lfs -text | |
| *.pth filter=lfs diff=lfs merge=lfs -text | |