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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HuggingFaceTB/SmolLM3-3B-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from HuggingFaceTB/SmolLM3-3B-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/HuggingFaceTB/SmolLM3-3B-checkpoints/resolve/refs%2Fpr%2F1/generation_config.json
- Command line
-
hf download hf://HuggingFaceTB/SmolLM3-3B-checkpoints@refs/pr/1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/HuggingFaceTB/SmolLM3-3B-checkpoints/resolve/refs%2Fpr%2F1/generation_config.json
169 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "pad_token_id": 128004, | |
| "transformers_version": "4.53.2", | |
| "use_cache": false | |
| } | |