Instructions to use kerasformers/bert_large_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/bert_large_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
- Keras
How to use kerasformers/bert_large_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_large_uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 430d7fb8fc5079d9ffb02350fbef9b572c084be7e21ea76383221e40d5c21aa9
- Size of remote file:
- 1.47 GB
- SHA256:
- 2d2029336a1eb967c49849a4aab680b77d90d8e87344168acc16fac0f00db566
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