Instructions to use kerasformers/deberta_v3_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/deberta_v3_small 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_small") - KerasFormers
How to use kerasformers/deberta_v3_small 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:
- 59afd20cd9290b9d1810ff83e8bc873c4f0068000e4298931dc0926c4e38d59e
- Size of remote file:
- 565 MB
- SHA256:
- 111e394a4753b0ca74e7acc4e376c1f21038bf62e199cbb989c9da4b0888861a
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