Instructions to use bainskarman/WikiClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use bainskarman/WikiClassification 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://bainskarman/WikiClassification") - Notebooks
- Google Colab
- Kaggle
Download best_model.keras from bainskarman/WikiClassification: direct link, hf CLI and curl.
- Browser
- Download file 476 MB
-
https://huggingface.co/bainskarman/WikiClassification/resolve/main/best_model.keras
- Command line
-
hf download hf://bainskarman/WikiClassification/best_model.keras
-
curl -L -o best_model.keras https://huggingface.co/bainskarman/WikiClassification/resolve/main/best_model.keras
476 MB
- Xet hash:
- f9189affaf783c6963580fe453151f719e838452e965e10a67b05ecbb650afce
- Size of remote file:
- 476 MB
- SHA256:
- e070eaaa1b2e0f0127d3573143c4d2d4c55c990712056fc7cf464a8f97e51502
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