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/pathora_model.keras from kauzan25/pathora-bert-classifier: direct link, hf CLI and curl.
- Browser
- Download file 9.18 MB
-
https://huggingface.co/kauzan25/pathora-bert-classifier/resolve/main/artifacts/pathora_model.keras
- Command line
-
hf download hf://kauzan25/pathora-bert-classifier/artifacts/pathora_model.keras
-
curl -L -o pathora_model.keras https://huggingface.co/kauzan25/pathora-bert-classifier/resolve/main/artifacts/pathora_model.keras
9.18 MB
- Xet hash:
- 4a6bdcbd64781b82b4f117a39d7c00dd429cd52486316688c33facd614ae7a34
- Size of remote file:
- 9.18 MB
- SHA256:
- 961d1209defa89264e25e6378aa09a4c37c25e94019bb457515d66f9c00a04e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.