Instructions to use squeezebert/squeezebert-mnli-headless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use squeezebert/squeezebert-mnli-headless with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("squeezebert/squeezebert-mnli-headless", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from squeezebert/squeezebert-mnli-headless: direct link, hf CLI and curl.
- Browser
- Download file 202 MB
-
https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://squeezebert/squeezebert-mnli-headless/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/pytorch_model.bin
202 MB
- Xet hash:
- a245d93e47bdf8a758a339bf7cdbb2762768902e2d114d9641ac1e149e30ab0a
- Size of remote file:
- 202 MB
- SHA256:
- 720ebc674bb71ec441dda9b53fcd2cc0c7e5623368559db4e6b70c1eae3ee0bf
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