Instructions to use kerasformers/dfine-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/dfine-medium 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
- Keras
How to use kerasformers/dfine-medium 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/dfine-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 726a6ab9201c887bd5674de3f05ad4efd285c870d5a7acbb027668f041ecee86
- Size of remote file:
- 79.8 MB
- SHA256:
- 7e932ebfadfbb55e10fc30f3c0b09ce1656f8dd27c47f374d1c9835222bfbea7
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