Instructions to use squeezebert/squeezebert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use squeezebert/squeezebert-uncased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("squeezebert/squeezebert-uncased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2927a4e3bc599f4a4ba12d74bd23f76ca65c5247e034c668f2d2cb7ef17c76b5
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size 103473649
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