Instructions to use zeromodels/dfine-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/dfine-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
- Keras
How to use zeromodels/dfine-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://zeromodels/dfine-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ce3dad723e0859c53670e751b0ecabe12ae61cb9a63ee8f93a2c3171b5d6b79
- Size of remote file:
- 127 MB
- SHA256:
- d0a276d2236963e50e4f5c41a800f4ebd8005180567603eb303212c548dd9c28
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