Instructions to use RedHatAI/oBERT-3-upstream-pretrained-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-3-upstream-pretrained-dense with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-3-upstream-pretrained-dense", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RedHatAI/oBERT-3-upstream-pretrained-dense: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/RedHatAI/oBERT-3-upstream-pretrained-dense/resolve/main/training_args.bin
- Command line
-
hf download hf://RedHatAI/oBERT-3-upstream-pretrained-dense/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RedHatAI/oBERT-3-upstream-pretrained-dense/resolve/main/training_args.bin
2.42 kB
- Xet hash:
- 8f955be9f7881dbfd51b582c40e73a6aee648025ab721bb2380b4821573f2de1
- Size of remote file:
- 2.42 kB
- SHA256:
- bd1e41e951c983a3b7beaf824021829c1f6b71f81dbb6cbe71f4d802521d046e
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