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 training_args.bin from RedHatAI/oBERT-12-upstream-pruned-unstructured-97: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/RedHatAI/oBERT-12-upstream-pruned-unstructured-97/resolve/main/training_args.bin
- Command line
-
hf download hf://RedHatAI/oBERT-12-upstream-pruned-unstructured-97/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RedHatAI/oBERT-12-upstream-pruned-unstructured-97/resolve/main/training_args.bin
2.42 kB
- Xet hash:
- 2e542ac74d4aa724439125fd1c4b7b20ffa1e8257285ff0668602792fc641356
- Size of remote file:
- 2.42 kB
- SHA256:
- a971c78775cba3eb9a28293e84f0c53ebd6a4a951977d9bff772833ce6f09999
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