Instructions to use Wei-K/D3_HW_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Wei-K/D3_HW_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Wei-K/D3_HW_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d88f513db5c2ef590bb915c9bafc58dbd9f0cc620d61687501d2bda52e12d55
- Size of remote file:
- 4.73 kB
- SHA256:
- f8650bdbf3ce8c505a92ded724502e584c123911ba012006a2dd5a82d265f21a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.