Instructions to use arpdevgroup/db2-qwen14b-next-v017-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arpdevgroup/db2-qwen14b-next-v017-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "arpdevgroup/db2-qwen14b-next-v017-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84057876e745b7621cb1b682794c63e6425660ba452648e9c935a59e11a2f499
- Size of remote file:
- 11.4 MB
- SHA256:
- 962b8d8c521fefa934665afddae177326e974ddd6a26e69ff31ad6bccbb5593b
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