Instructions to use kerasformers/deberta_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/deberta_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_large") - KerasFormers
How to use kerasformers/deberta_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:
- 9988e3ea2c2a09a39d64490bb56ebfab069ac852891d0de8f09d3bde4c507453
- Size of remote file:
- 1.62 GB
- SHA256:
- 36e9bce317042bc84f1a92b1f1d8277760431c5a06e69bd19a01fda98b7c30b5
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