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/label_encoder.joblib from kauzan25/pathora-bert-classifier: direct link, hf CLI and curl.
- Browser
- Download file 766 Bytes
-
https://huggingface.co/kauzan25/pathora-bert-classifier/resolve/main/artifacts/label_encoder.joblib
- Command line
-
hf download hf://kauzan25/pathora-bert-classifier/artifacts/label_encoder.joblib
-
curl -L -o label_encoder.joblib https://huggingface.co/kauzan25/pathora-bert-classifier/resolve/main/artifacts/label_encoder.joblib
766 Bytes
- Xet hash:
- 67191eae3d5aa60a0658e3d7f73b87d3f35e5cbbcefd98f419e49f6c0f5b2ae2
- Size of remote file:
- 766 Bytes
- SHA256:
- 7308466820d7ba533d3e6256b57436fa9ed448b2103ea2f71b62fba23eacc94a
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