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:
- 9e01b2532d0da911606e010296f06c871a03e5181757a1c8cb01703e022cb3a0
- Size of remote file:
- 15.3 MB
- SHA256:
- 9b3829041d0bb8a1fc3fdf160cfe674244c9d922f3bd28b969f4ac1e764c9ab0
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