Instructions to use RedHatAI/oBERT-12-upstream-pruned-unstructured-97 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-12-upstream-pruned-unstructured-97 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-upstream-pruned-unstructured-97", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RedHatAI/oBERT-12-upstream-pruned-unstructured-97: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/RedHatAI/oBERT-12-upstream-pruned-unstructured-97/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RedHatAI/oBERT-12-upstream-pruned-unstructured-97/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RedHatAI/oBERT-12-upstream-pruned-unstructured-97/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 6fcf3eb2a5961be94599c5de786b77abcf163868832e074c5e61d5e35695b843
- Size of remote file:
- 438 MB
- SHA256:
- c757c601ff925b71743935508969773480af25446572938d37807d4ad4914ac5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.