Instructions to use thaffggg/7070cb7f-0a17-44a4-a484-ad707442eb65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/7070cb7f-0a17-44a4-a484-ad707442eb65 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "thaffggg/7070cb7f-0a17-44a4-a484-ad707442eb65") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 115f30e14f0528b30b27c000c0d03d83fc1c0cede74624d3d950a57c525203ff
- Size of remote file:
- 162 MB
- SHA256:
- ff70e0742fbf964b280cad5fee0222850ef7ec32093db5535f64c44d9a973344
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