Instructions to use wangzerui/Job-Skiils-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wangzerui/Job-Skiils-Analysis with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "wangzerui/Job-Skiils-Analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16f89e277192b3b0ecfe86a2221bd1f773d08e44bac208463d3f94eab914ddda
- Size of remote file:
- 52.7 MB
- SHA256:
- 34aa5b46cd7c031d3ed81730e3b1cd1a03a8dd43aec237435062df85244de16e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.