Instructions to use burtenshaw/nemo3-sft-bnb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use burtenshaw/nemo3-sft-bnb with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("burtenshaw/nemo3-sft-bnb", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae852497f362be887cabe88c6b4c558affb219298952994b1cf589b2c5b19836
- Size of remote file:
- 6.16 kB
- SHA256:
- a3785e3ef21895124b0d3a8174afc57320bd1b818f370f978ba26c8e7217be46
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