Instructions to use dmody1/NER-telecom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dmody1/NER-telecom with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "dmody1/NER-telecom") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36875fec314552069e3d48658d1ee842f93ab870e0e0c54bd22549eb5b645001
- Size of remote file:
- 16.8 MB
- SHA256:
- 9efe2f03663ed7afe89c3f146a8202bcc36a8d90c0f238ee94597cc1fa346b32
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.