Instructions to use Jiyog/SmolLM3-Custom-SFT-LoRA-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiyog/SmolLM3-Custom-SFT-LoRA-training with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jiyog/SmolLM3-Custom-SFT-LoRA-training", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 990561dbbdf50d88532f3173636b43944cac31bf4adcf003dd6ca6d77bf1be0c
- Size of remote file:
- 5.71 kB
- SHA256:
- 738168d16fec70f2ea9d1cb27c5d1de1b112b42490b4de9e8e84d941ae3feedb
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