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:
- 7a31bd635f83180c33bbfc606bed9e2420c0d8eca34c970b11e5ea61af6f39a8
- Size of remote file:
- 4.03 kB
- SHA256:
- 5209c0fcb6bd3374435acd71f4e80ba80e72720014c29d39325dcdc84f40a785
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