Instructions to use zeromodels/mit_b0_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/mit_b0_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/mit_b0_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/mit_b0_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb0dcc471474fe8ad353db548181220df3b49f782fc7bdee8adc390f84a1b84d
- Size of remote file:
- 14.8 MB
- SHA256:
- ebb63b40812e608c625d86e7fa53e52bfd39e638359b4e50b2d18565384f3cca
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