Instructions to use ycchen/final-lora-ep5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ycchen/final-lora-ep5 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-ep5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d128b602099f1e1698452bc7b329200a555189540bca6a0fb21facf1d2aecfd1
- Size of remote file:
- 134 MB
- SHA256:
- 8758712b1e134ce440dc7448e50918531e4ca6acf28221371ff236c0292d3dc1
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