Instructions to use jslin09/LlaMA2_LegalChat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jslin09/LlaMA2_LegalChat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "jslin09/LlaMA2_LegalChat") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from jslin09/LlaMA2_LegalChat: direct link, hf CLI and curl.
- Browser
- Download file 95 Bytes
-
https://huggingface.co/jslin09/LlaMA2_LegalChat/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://jslin09/LlaMA2_LegalChat/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/jslin09/LlaMA2_LegalChat/resolve/main/special_tokens_map.json
95 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |