Instructions to use 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06 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, "0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06: direct link, hf CLI and curl.
- Browser
- Download file 80 Bytes
-
https://huggingface.co/0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/resolve/main/added_tokens.json
- Command line
-
hf download hf://0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/resolve/main/added_tokens.json
80 Bytes
| { | |
| "<|endoftext|>": 151643, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644 | |
| } | |