Instructions to use smahns/listllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smahns/listllama 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, "smahns/listllama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9039e5f1e7652ad2118b9ba69598535731b4256866e429531f7e7315a2878e05
- Size of remote file:
- 4.92 kB
- SHA256:
- 03120f6673db3394df2ab8c11efd5313ec1c3f70480d97da8cbdf234f7a2ba99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.