Instructions to use surasuk/dolly-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surasuk/dolly-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B") model = PeftModel.from_pretrained(base_model, "surasuk/dolly-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 271381a86d7c7f95ed77ed258edc201d75a9c9a79830a1201fcdda97a6d4348c
- Size of remote file:
- 7.38 MB
- SHA256:
- 5b778837dcf72f2b2b500dff3aa4eadd0dd24de25d42384e572640ed668cd51a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.