Instructions to use DangMinh21/SmolVLM-256M-Instruct-amazon-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DangMinh21/SmolVLM-256M-Instruct-amazon-description with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DangMinh21/SmolVLM-256M-Instruct-amazon-description", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from DangMinh21/SmolVLM-256M-Instruct-amazon-description: direct link, hf CLI and curl.
- Browser
- Download file 136 Bytes
-
https://huggingface.co/DangMinh21/SmolVLM-256M-Instruct-amazon-description/resolve/main/generation_config.json
- Command line
-
hf download hf://DangMinh21/SmolVLM-256M-Instruct-amazon-description/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/DangMinh21/SmolVLM-256M-Instruct-amazon-description/resolve/main/generation_config.json
136 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 49279, | |
| "pad_token_id": 2, | |
| "transformers_version": "4.51.3" | |
| } | |