Instructions to use ChenYanKai2002/OpenPerov-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ChenYanKai2002/OpenPerov-Flash with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "ChenYanKai2002/OpenPerov-Flash") - Notebooks
- Google Colab
- Kaggle
Download release_status.json from ChenYanKai2002/OpenPerov-Flash: direct link, hf CLI and curl.
- Browser
- Download file 299 Bytes
-
https://huggingface.co/ChenYanKai2002/OpenPerov-Flash/resolve/main/release_status.json
- Command line
-
hf download hf://ChenYanKai2002/OpenPerov-Flash/release_status.json
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curl -L -o release_status.json https://huggingface.co/ChenYanKai2002/OpenPerov-Flash/resolve/main/release_status.json
299 Bytes
| { | |
| "paper_name": "OpenPerov Flash", | |
| "base_model": "Qwen/Qwen3.6-27B", | |
| "adapter_weights": "available", | |
| "merged_full_weights": "not_distributed", | |
| "intermediate_adapters": "not_distributed", | |
| "artifact": "single combined LoRA adapter", | |
| "code": "https://github.com/Yan-Kai-Chen/OpenPerov" | |
| } | |