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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c5f024fbc4ea1b2184061dc82e3e36ca140c0be3bc900ef01b337761786a28f
- Size of remote file:
- 103 MB
- SHA256:
- 2927a4e3bc599f4a4ba12d74bd23f76ca65c5247e034c668f2d2cb7ef17c76b5
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