Instructions to use ycchen/final-lora-426 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ycchen/final-lora-426 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ycchen/yc-test1") model = PeftModel.from_pretrained(base_model, "ycchen/final-lora-426") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86d742b3dbcf4f36da9e7f5878eec5871bf6c8e69c212fc7f6e0e0ffe4ca6add
- Size of remote file:
- 134 MB
- SHA256:
- 8db77347733841d8b07ebca9f1afe08280bf9e7b74f8410e7861421c7ec8ff85
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