Instructions to use kerasformers/xlm_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/xlm_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
- Keras
How to use kerasformers/xlm_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/xlm_roberta_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a37806b99743327723c57c4ab9770bef7643abda9ccdeda60956d4fce4b1771
- Size of remote file:
- 1.11 GB
- SHA256:
- dbb3cf1587e3b1909b8e45da4021836bb93c448916b91760b2ea6ac2317cada4
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