Instructions to use kerasformers/deit_tiny_patch16_224_fb_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/deit_tiny_patch16_224_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_tiny_patch16_224_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_tiny_patch16_224_fb_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5658e4f1174be2d6f63402dfb17e5ab30200e57a9635265eb6dcf17f8f9942e2
- Size of remote file:
- 23.3 MB
- SHA256:
- bbbb8f51146ec683e81c4d4afa84ee99436ddfe2e96888ea497768e02945f54f
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