Instructions to use HuggingFaceTB/SmolLM3-3B-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/SmolLM3-3B-checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HuggingFaceTB/SmolLM3-3B-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018f31fc20f777567cdd68a5278395430107ccc84a59fbc0aebb67ece1844b48
- Size of remote file:
- 17.2 MB
- SHA256:
- 7b6a500b662a34eb3f0374db856ba4ad7de4c81040571d78dc0d357238930005
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