Instructions to use OpenNLG/OpenBA-V2-Flan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenNLG/OpenBA-V2-Flan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenNLG/OpenBA-V2-Flan", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenNLG/OpenBA-V2-Flan", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a63646c5466f6556518a597ca4950f0028f904c5e35074775b66cf8989d21da1
- Size of remote file:
- 7.62 GB
- SHA256:
- 25f1c5f53160f236636d711e4ff8d73b2f262e9aec7b3956d70fad90815add50
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