Instructions to use RedHatAI/oBERT-teacher-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-teacher-mnli with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-teacher-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RedHatAI/oBERT-teacher-mnli: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/RedHatAI/oBERT-teacher-mnli/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RedHatAI/oBERT-teacher-mnli/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RedHatAI/oBERT-teacher-mnli/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 538106f982e90eefb5acfdc78bc31f91bf56e332a8190c4cb317a59a90ca00cf
- Size of remote file:
- 438 MB
- SHA256:
- a52a807602101fa78fe52d835fbb47cc095df505b4fc5f761bf5775a266175b7
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