Instructions to use zeromodels/dfine-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/dfine-xlarge 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 zeromodels/dfine-xlarge 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/dfine-xlarge") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f8e7d361a1d807bbd4d00de990f77c1a72b74a0157864b3e39b57cfd80abefd
- Size of remote file:
- 253 MB
- SHA256:
- 607ffb04cc1e29d158921ea29668fc5bc9c6dddbe60735f37d06c7d71ae3356c
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