Instructions to use cutelemonlili/Qwen2.5-32B-Instruct_lora_MATH_training_response_Qwen2.5_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cutelemonlili/Qwen2.5-32B-Instruct_lora_MATH_training_response_Qwen2.5_7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "cutelemonlili/Qwen2.5-32B-Instruct_lora_MATH_training_response_Qwen2.5_7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dc633e14b4c268084ee2d204ad65f5dd0fd38a0987fb19fc7808997a0469887
- Size of remote file:
- 7.22 kB
- SHA256:
- 2c90c4693befc73ab120435cb012d9b537c669031b5c0927da341311820b002a
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