Instructions to use codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters/resolve/main/generation_config.json
- Command line
-
hf download hf://codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/codakcodak/llama2-7b-ko-4bit-vscodeHelper-adapters/resolve/main/generation_config.json
176 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 4096, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.37.2", | |
| "use_cache": false | |
| } | |