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:
- 38002066026ab580d7a71c8ce9f3481e67fc8ba1d6fe0d36628283839c342a2a
- Size of remote file:
- 654 MB
- SHA256:
- b176329e69a2ba744c35979e4283a6749abf2351bc15aa37bcbfe3f9028938b4
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