Instructions to use jackkuo/PaperExtractGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jackkuo/PaperExtractGPT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/HOME/jack/model/chatglm-6b/") model = PeftModel.from_pretrained(base_model, "jackkuo/PaperExtractGPT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23313e9560c8d6fe7a60a156e25094f6e039780f9dd192ab469c55015bed6dff
- Size of remote file:
- 940 MB
- SHA256:
- e211a1fef457845ffd4f46ea68a2d85da11d9693925f170529cdfb5ece27d09c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.