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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 272ab5b30a3f7229692e1db8e757a779025030df698290b6a7f9747659aeae70
- Size of remote file:
- 7.62 GB
- SHA256:
- 738865e96f4567a71f238e3ced6120d7fa8b44c8461966f64a1ce66ee232d526
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