Instructions to use zeromodels/mit_b1_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/mit_b1_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_b1_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_b1_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cea6af76c920819d6e4e1dcad5d92410104a883c9d2e6de3ba8658d95b79eb2d
- Size of remote file:
- 55.1 MB
- SHA256:
- afd25d0f45645076060f4e4d0baeb1cfb311c903be8d3cb76da656bc12f6a19f
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