Instructions to use zeromodels/deit3_small_patch16_224_fb_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/deit3_small_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 zeromodels/deit3_small_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://zeromodels/deit3_small_patch16_224_fb_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 206bfbe8464033111244b70606e9e9754dec699d8ef7836e036aede0b1d4e7f8
- Size of remote file:
- 88.8 MB
- SHA256:
- f8d0c3e9bdd240f559e98e54fc4a107c6a462ba31e812ae4499ff9332490d513
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.