Instructions to use benjamin5607/jekyll-hyde-hyde-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use benjamin5607/jekyll-hyde-hyde-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "benjamin5607/jekyll-hyde-hyde-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ab51dcf51695dfac4ad9d557ebd4c23e58f5a99a9d12ac195fc67ae1ddd8372
- Size of remote file:
- 83.1 MB
- SHA256:
- 3084172c9ce85a964c7dd483bdc153c9c9dcf7210dc05afcb78f0c2ede58516b
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