Instructions to use kerasformers/roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/roberta_base 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/roberta_base") - KerasFormers
How to use kerasformers/roberta_base 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:
- 8e5d8ec1307e13d5c29a4879b13b437dbe208fc1e0190e1ed4f15ed9cf8a2993
- Size of remote file:
- 499 MB
- SHA256:
- e7eb995d3400e18537286038ca01127a473b6ee1070c7abeca13cc805b9ecbb8
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