Instructions to use kerasformers/deit_base_patch16_384_fb_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/deit_base_patch16_384_fb_in1k 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/deit_base_patch16_384_fb_in1k 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/deit_base_patch16_384_fb_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b677e0788298b534499f4ae65adc676f6ef4cefe8b57f36e7755137edc1f3715
- Size of remote file:
- 348 MB
- SHA256:
- 7270c4270c3d9139e1277d390d6be957f0b04a18637037276d1492068fc5ccf2
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