Instructions to use TeamKoantek/Wizard_Vic_QLoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TeamKoantek/Wizard_Vic_QLoRa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Wizard-Vicuna-13B-Uncensored-HF") model = PeftModel.from_pretrained(base_model, "TeamKoantek/Wizard_Vic_QLoRa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75449ca26a323117a858d0ab3719c69101094e8521d53f2e1b0db6ace4a85f6a
- Size of remote file:
- 26.3 MB
- SHA256:
- ba151dd2c5155eeed2a5e73a8aa4237d70c7203c67031b717f65b5cd52730ffe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.