Instructions to use RedHatAI/oBERT-12-upstream-pretrained-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-12-upstream-pretrained-dense with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-upstream-pretrained-dense", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RedHatAI/oBERT-12-upstream-pretrained-dense: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/RedHatAI/oBERT-12-upstream-pretrained-dense/resolve/main/training_args.bin
- Command line
-
hf download hf://RedHatAI/oBERT-12-upstream-pretrained-dense/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RedHatAI/oBERT-12-upstream-pretrained-dense/resolve/main/training_args.bin
2.35 kB
- Xet hash:
- ddfeeaeb74b22db06feac90899c7e977dea6cee4b265e55aac9fb7afdc7432eb
- Size of remote file:
- 2.35 kB
- SHA256:
- 64064c985489f233c9b46091a17d2b7036b4cd93643c50fcd6f27e6cef4fe3c6
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