Instructions to use kerasformers/sam_vit_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/sam_vit_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 kerasformers/sam_vit_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://kerasformers/sam_vit_large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86f5875477353f231b9df0db3bdb431dd08caa378e6114f12aa4a0a561b688e0
- Size of remote file:
- 1.25 GB
- SHA256:
- 21cfcf99e139d35ecfc92ec13f8afbd3e5f34459458e4bed5f7e4592472c25b9
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