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 model.png from akraut/CDS_BERT_CLF: direct link, hf CLI and curl.
- Browser
- Download file 14 kB
-
https://huggingface.co/akraut/CDS_BERT_CLF/resolve/main/model.png
- Command line
-
hf download hf://akraut/CDS_BERT_CLF/model.png
-
curl -L -o model.png https://huggingface.co/akraut/CDS_BERT_CLF/resolve/main/model.png
14 kB

- Xet hash:
- f24915e0fd7c02b7379effef11d09641c9e32c65fa95365b7edeb94db8d6ea93
- Size of remote file:
- 14 kB
- SHA256:
- 543b3a03c88eb11a6ed38075e1ede55cb3cf44abddf4d993f5be9a09941c8dcb
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