Instructions to use basit0513/LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use basit0513/LLM with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("basit0513/LLM", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from basit0513/LLM: direct link, hf CLI and curl.
- Browser
- Download file 195 Bytes
-
https://huggingface.co/basit0513/LLM/resolve/main/generation_config.json
- Command line
-
hf download hf://basit0513/LLM/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/basit0513/LLM/resolve/main/generation_config.json
195 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "do_sample": true, | |
| "eos_token_id": 2, | |
| "pad_token_id": 32000, | |
| "temperature": 0.9, | |
| "top_p": 0.6, | |
| "transformers_version": "4.31.0" | |
| } | |