Instructions to use zeromodels/deberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/deberta_base with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/deberta_base") - Keras
How to use zeromodels/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://zeromodels/deberta_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca597a791b66e8dad4afd4436ed1d590b05e2e2d21365fd317cbe7062ae0fcc
- Size of remote file:
- 712 MB
- SHA256:
- 7cbcfff756d024ee556068b8a0270c441e311f0de5b006df3d6db08fdb2651d2
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