Instructions to use kerasformers/bert_large_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/bert_large_cased with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/bert_large_cased with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/bert_large_cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de7650b56635b5226f04a650141dadd534bd557beb52db0b95e552a3d21acda6
- Size of remote file:
- 1.45 GB
- SHA256:
- 43abf334cc1c8aea749d65a9fe8eb1d8f272040987caf5fe753bba8146f6cb78
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