Instructions to use OpenNLG/OpenBA-V2-Based with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenNLG/OpenBA-V2-Based with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenNLG/OpenBA-V2-Based", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenNLG/OpenBA-V2-Based", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
1c42829 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:738865e96f4567a71f238e3ced6120d7fa8b44c8461966f64a1ce66ee232d526
size 7617363989
|