Instructions to use Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/c374ea20-5026-48ff-abab-3892b0b88cff") model = PeftModel.from_pretrained(base_model, "Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
-
https://huggingface.co/Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704/resolve/main/added_tokens.json
- Command line
-
hf download hf://Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Paladiso/07b929e5-dbb4-40c6-8214-a997ebe6f704/resolve/main/added_tokens.json
82 Bytes
| { | |
| "<|endofprompt|>": 100276, | |
| "<|im_end|>": 100265, | |
| "<|im_start|>": 100264 | |
| } | |