Instructions to use akraut/CDS_BERT_CLF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use akraut/CDS_BERT_CLF 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://akraut/CDS_BERT_CLF") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from akraut/CDS_BERT_CLF: direct link, hf CLI and curl.
- Browser
- Download file 9.84 kB
-
https://huggingface.co/akraut/CDS_BERT_CLF/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://akraut/CDS_BERT_CLF/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/akraut/CDS_BERT_CLF/resolve/main/keras_metadata.pb
9.84 kB
- Xet hash:
- 80249719e2d777c36dd47de824bd48b0caa1a54632c80aa6c6f71e58af4ad41c
- Size of remote file:
- 9.84 kB
- SHA256:
- 38aec5c602996a5557a2cfeedde6b4105da7f316edafdedc3d789a7dbea47707
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