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:
- eb76aecc94d57b717b4524f1acd083673d0e7bcde1d07e2b861b326153706cfb
- Size of remote file:
- 438 MB
- SHA256:
- c3e991d42c0544a922bf76124f1af77abadea33e2e7be72c16c3de3addc4143c
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