Instructions to use nhung01/6d26bd8d-20f8-4dfb-bd71-893445e91be6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung01/6d26bd8d-20f8-4dfb-bd71-893445e91be6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5") model = PeftModel.from_pretrained(base_model, "nhung01/6d26bd8d-20f8-4dfb-bd71-893445e91be6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d37c1f8077ab4a26c581fd3d4e87fe15698988000c40f59c56f41013e7325ce3
- Size of remote file:
- 94.4 MB
- SHA256:
- adf8094f69c542f95ffc0575acc15176e3efb5555c14aa60c94dbc863c6f7b7e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.