Instructions to use Ravinthiran/DistilSenti-Net42M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Ravinthiran/DistilSenti-Net42M with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Ravinthiran/DistilSenti-Net42M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88904ee6c6544977e833c6a39549a0c8d62d7de2262bf1b06d70ce326c90aac6
- Size of remote file:
- 169 MB
- SHA256:
- 49f8c968a9829bf3fce644e27d694469ff5c5576b62eadd05c0af75a3386282c
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