Instructions to use potemin/llama2-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use potemin/llama2-conll2003 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, "potemin/llama2-conll2003") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e010accc7f0a43d0d80853457b3de181388d0b4342d1f1ce2e22a10296b4ab4f
- Size of remote file:
- 16.8 MB
- SHA256:
- d0fa7be84f57910f30861e822ae183cad14d7a571c02deb70abed763812bd64c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.