Instructions to use RedHatAI/oBERT-3-downstream-dense-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-3-downstream-dense-squadv1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-3-downstream-dense-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RedHatAI/oBERT-3-downstream-dense-squadv1: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/RedHatAI/oBERT-3-downstream-dense-squadv1/resolve/main/training_args.bin
- Command line
-
hf download hf://RedHatAI/oBERT-3-downstream-dense-squadv1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RedHatAI/oBERT-3-downstream-dense-squadv1/resolve/main/training_args.bin
2.42 kB
- Xet hash:
- 42607d4a07ddb59dbde708c368406ad9e9e3a4009bc19625213701282c3f32b9
- Size of remote file:
- 2.42 kB
- SHA256:
- df1c1f6330eb2ff14bbbc4696c32641aaad3b287bd008b308e301c864786d60b
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