Instructions to use cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7: direct link, hf CLI and curl.
- Browser
- Download file 293 Bytes
-
https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/main/added_tokens.json
- Command line
-
hf download hf://cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/main/added_tokens.json
293 Bytes
| { | |
| "<|assistant|>": 32001, | |
| "<|endoftext|>": 32000, | |
| "<|end|>": 32007, | |
| "<|placeholder1|>": 32002, | |
| "<|placeholder2|>": 32003, | |
| "<|placeholder3|>": 32004, | |
| "<|placeholder4|>": 32005, | |
| "<|placeholder5|>": 32008, | |
| "<|placeholder6|>": 32009, | |
| "<|system|>": 32006, | |
| "<|user|>": 32010 | |
| } | |