Instructions to use Daksh1/finalMulti1123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daksh1/finalMulti1123 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Daksh1/finalMulti1123", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Daksh1/finalMulti1123: direct link, hf CLI and curl.
- Browser
- Download file 180 Bytes
-
https://huggingface.co/Daksh1/finalMulti1123/resolve/main/generation_config.json
- Command line
-
hf download hf://Daksh1/finalMulti1123/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Daksh1/finalMulti1123/resolve/main/generation_config.json
180 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": 128001, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.47.1" | |
| } | |