Instructions to use ma921/babel-9b-sft-oasst1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ma921/babel-9b-sft-oasst1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ma921/babel-9b-sft-oasst1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0448307de52b767e89b211ae9538ecf7e13d71ae4069712283bde6bfad3e02fb
- Size of remote file:
- 11.4 MB
- SHA256:
- 85acc0ed1a93f8b0e6c803b53edf0fe4898ac19a3fff657f21020d280364a0cf
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