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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Main branch
#6
by aldakata - opened
You should put last checkpoint as the main branch, the lack of a config.json in the main branch of this repo leads to annying compatibility errors e.g. with GPTQModel who use AutoConfig.from_pretrained() to initialize/check any model,, which is not compatible with the current repo structure