Instructions to use RedHatAI/oBERT-12-downstream-pruned-unstructured-80-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-12-downstream-pruned-unstructured-80-mnli with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-downstream-pruned-unstructured-80-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afab195d47f95866fd17bc441fd0600caa0fc28c76d75c747dc302c2b5e614ac
- Size of remote file:
- 438 MB
- SHA256:
- eb3516a68b5b3d9ad082ad3a3280018649e15fa3c28cd124341f5ddc8cda2db8
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