Instructions to use jk200201/qwen2.5-coder-7b-bird-cot-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jk200201/qwen2.5-coder-7b-bird-cot-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "jk200201/qwen2.5-coder-7b-bird-cot-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc66e80de0087f6ff5265c5d1c4ffef87344f3ebf356c14be9eb3fff0903fdde
- Size of remote file:
- 11.4 MB
- SHA256:
- 33624f49f1034c4f5d92e3ec47ccdf80ccd02caf1eb1d769872ba7fb1e5be112
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