Instructions to use mnk1231234/sft-tiny-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnk1231234/sft-tiny-finetune with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mnk1231234/sft-tiny-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd055478f599fd22b744c7b2dcc944d620cc1bb0cc69c8176c9ed1513b15c6ff
- Size of remote file:
- 5.56 kB
- SHA256:
- 935faf5cbcf5372f8adbbdc2446c7ea4ade08d35a498787d1f067c5f7f7c168c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.