Instructions to use SurfaceData/dummy_pythia160m_lora8_peft_chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SurfaceData/dummy_pythia160m_lora8_peft_chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "SurfaceData/dummy_pythia160m_lora8_peft_chat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93f6ad8a3daee8b4376281e12092688a6db5421e2acdbc5b45965cc4dc62c888
- Size of remote file:
- 1.19 MB
- SHA256:
- 86102dbd679515f2d3a43cbaf764544b88129fa1d148ec2f8c7f87e85ada3385
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