Instructions to use kerasformers/bert_base_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/bert_base_uncased 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_base_uncased") - KerasFormers
How to use kerasformers/bert_base_uncased 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
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf15dbb7c7120e228ac6f88a7849dba1cc2ef1dfc187f2e043ff3f3079867e5d
- Size of remote file:
- 532 MB
- SHA256:
- acd8e093f5cca4ae9f566c0399c5c4f0d209e5ce311f0e18640ecc0be0e91fa2
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