Instructions to use kaitchup/Llama-2-7b-mt-Italian-to-English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kaitchup/Llama-2-7b-mt-Italian-to-English with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "kaitchup/Llama-2-7b-mt-Italian-to-English") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a93f48fd2a5df848a3d1515ac0313997309e8bf1f7fd498d264e9db9198d3fd
- Size of remote file:
- 92.9 MB
- SHA256:
- c3b9c1e4756618a1b63597d5288f17103a5e0c75e8e1969d521a9e4d8255ddb4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.