Instructions to use kiritps/Advanced-resume-screening with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kiritps/Advanced-resume-screening 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, "kiritps/Advanced-resume-screening") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef3f40a17876aebff6840529f7cceee25b07053da93ac594ff69c3e1905b5023
- Size of remote file:
- 320 MB
- SHA256:
- 7f22e2bfe2012effab5144d3b21881ff3fffd52bea01a680381c687c0c3c4b06
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.