Instructions to use demohong/57073731-d0b8-4a46-998c-f0b84da1056b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/57073731-d0b8-4a46-998c-f0b84da1056b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-13b-v1.5") model = PeftModel.from_pretrained(base_model, "demohong/57073731-d0b8-4a46-998c-f0b84da1056b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4aed460b289834382722b679766c46156ebc2bc16e769d018ecd101ac92c8b9
- Size of remote file:
- 6.78 kB
- SHA256:
- 66bb6f3fc8ec26c3882b30091780860ace4a040c86df8911e1980b080c91ba12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.