Instructions to use pavan01729/qpi_ether0-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pavan01729/qpi_ether0-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("futurehouse/ether0") model = PeftModel.from_pretrained(base_model, "pavan01729/qpi_ether0-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b800f86810bf6cd6c68bd2aa66bfa19d602ba4aa0dd345b385f2d5c8f1cd28c
- Size of remote file:
- 739 MB
- SHA256:
- 5677e3dcdfb44652bef4b8fea80fe259c43833e397157088b157c18b15c5d2f5
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