Instructions to use abababab2003/trader-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abababab2003/trader-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("C:\Users\user\Desktop\Trading-Agent\models\qwen3-8b") model = PeftModel.from_pretrained(base_model, "abababab2003/trader-sft-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20fe20ee628db393257f9e2bef6647cb751415cbcc12110ab2dd253987898905
- Size of remote file:
- 11.4 MB
- SHA256:
- bae3e39d56cfdb7b650cb318344d5c0f071d19fc9868ce086fef0cee78d5e7ff
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