Instructions to use kauzan25/pathora-bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kauzan25/pathora-bert-classifier 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://kauzan25/pathora-bert-classifier") - Notebooks
- Google Colab
- Kaggle
Download artifacts/sklearn_model.joblib from kauzan25/pathora-bert-classifier: direct link, hf CLI and curl.
- Browser
- Download file 75 kB
-
https://huggingface.co/kauzan25/pathora-bert-classifier/resolve/main/artifacts/sklearn_model.joblib
- Command line
-
hf download hf://kauzan25/pathora-bert-classifier/artifacts/sklearn_model.joblib
-
curl -L -o sklearn_model.joblib https://huggingface.co/kauzan25/pathora-bert-classifier/resolve/main/artifacts/sklearn_model.joblib
75 kB
- Xet hash:
- 7a8847467a8ab31c78a91e51cbddd42cb9b79a80d048df6d19f1a7fd512f4a03
- Size of remote file:
- 75 kB
- SHA256:
- b82e2ceaaa3f9cb274918f60a446508ebe2f6d3250d37ffebd630a54f36b2844
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