Instructions to use kerasformers/roberta_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/roberta_large 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_large") - KerasFormers
How to use kerasformers/roberta_large 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:
- 28cc2575bec6ad10460d39d65327b0f6102cc1237b4a078f742749197c08a3df
- Size of remote file:
- 1.63 GB
- SHA256:
- f0787a930a8943d7570aac2349621f98ce33b577d97611b18cff6f6bd10fda3e
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