Instructions to use dada22231/810bd9ec-23c9-4fbf-aebe-eefc3690f527 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/810bd9ec-23c9-4fbf-aebe-eefc3690f527 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-open-llama-3b-v2") model = PeftModel.from_pretrained(base_model, "dada22231/810bd9ec-23c9-4fbf-aebe-eefc3690f527") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce310211f25c352245187d6bf475f75aaabd55a39b3be82736213ca419bf4f6c
- Size of remote file:
- 203 MB
- SHA256:
- 7f29db84f41e3193307b2b6fa49913f3ac4c9653d118e941b3770132ea559f59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.