Instructions to use sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/added_tokens.json from sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb: direct link, hf CLI and curl.
- Browser
- Download file 80 Bytes
-
https://huggingface.co/sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb/resolve/main/last-checkpoint/added_tokens.json
- Command line
-
hf download hf://sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb/last-checkpoint/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/sn56b2/70238e93-07e9-4592-ac02-fb558fb2fdcb/resolve/main/last-checkpoint/added_tokens.json
80 Bytes
| { | |
| "<|endoftext|>": 151643, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644 | |
| } | |