Instructions to use RedHatAI/oBERT-12-upstream-pruned-unstructured-90 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-90 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-upstream-pruned-unstructured-90", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RedHatAI/oBERT-12-upstream-pruned-unstructured-90: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/RedHatAI/oBERT-12-upstream-pruned-unstructured-90/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RedHatAI/oBERT-12-upstream-pruned-unstructured-90/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RedHatAI/oBERT-12-upstream-pruned-unstructured-90/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 6baf68589715ef8a62f2b52adda0048cc622c3a741025a8beaaba87ceefaf65d
- Size of remote file:
- 438 MB
- SHA256:
- 48aec9360f353d6e5de3c3adba0b49f2693225c48872a768095431dec6b87020
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