Instructions to use kerasformers/deberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/deberta_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/deberta_base") - KerasFormers
How to use kerasformers/deberta_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
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4f77096d436fc8c9573589d9ff332e6b4e92de5443f7dc8b5eb813830c243cf
- Size of remote file:
- 555 MB
- SHA256:
- 87f44fdc7a4fe3d3105c906244f4d0232d7435de28ba93c501eedb89bb31ecf1
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