Instructions to use mrHungddddh/cfd9fad8-b6eb-4ee0-bcfd-57d3eb7b9389 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/cfd9fad8-b6eb-4ee0-bcfd-57d3eb7b9389 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B") model = PeftModel.from_pretrained(base_model, "mrHungddddh/cfd9fad8-b6eb-4ee0-bcfd-57d3eb7b9389") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f4e1e2882854f0a95e5c97baa68175115d5cb4de50bb5004738129de9366726
- Size of remote file:
- 15.2 MB
- SHA256:
- 6d1ddc36b79f95c4871e37674b46bc5d19de76784c06650bc465cb75c79440e7
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