Instructions to use kerasformers/deberta_v3_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/deberta_v3_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/deberta_v3_large") - KerasFormers
How to use kerasformers/deberta_v3_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:
- f16c9f2361ec8e8f04b78a1cd5a83ef1e98c2dec426f50b2829dc95207721e49
- Size of remote file:
- 1.74 GB
- SHA256:
- b2a163ab193f0306cb6a5ebde9193764e776a676868aa84d39fa2ace751a94da
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