Instructions to use cafbr/bert-simililarity-hist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cafbr/bert-simililarity-hist 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://cafbr/bert-simililarity-hist") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from cafbr/bert-simililarity-hist: direct link, hf CLI and curl.
- Browser
- Download file 8.09 MB
-
https://huggingface.co/cafbr/bert-simililarity-hist/resolve/main/saved_model.pb
- Command line
-
hf download hf://cafbr/bert-simililarity-hist/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/cafbr/bert-simililarity-hist/resolve/main/saved_model.pb
8.09 MB
- Xet hash:
- 2bfb543c3585f1720ee53a687352aeb289ed2439f9ae50b80f3514eef70f4884
- Size of remote file:
- 8.09 MB
- SHA256:
- 90b6eb0c182d411bf4de30165417515a75a079d7dc2ac53e757f8366bff4f819
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