Instructions to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
-
https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/main/added_tokens.json
- Command line
-
hf download hf://Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/main/added_tokens.json
82 Bytes
| { | |
| "<|endofprompt|>": 100276, | |
| "<|im_end|>": 100265, | |
| "<|im_start|>": 100264 | |
| } | |