File size: 1,102 Bytes
1dba2fa c852879 1dba2fa c852879 87f72e7 d7a64d9 b2de9cc d7a64d9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.4.0
- PEFT 0.4.0
- use
in https://github.com/hiyouga/ChatGLM-Efficient-Tuning/tree/main
```
CUDA_VISIBLE_DEVICES=3 nohup python src/web_demo.py \
--model_name_or_path /HOME/jack/model/chatglm-6b \
--checkpoint_dir paper_meta\ \
> log_web_demo.txt 2>&1 & tail -f log_web_demo.txt
```
### 🚩Citation
Please cite the following paper if you use jackkuo/ChatPaperGPT_32k in your work.
```bibtex
@INPROCEEDINGS{10412837,
author={Guo, Menghao and Wu, Fan and Jiang, Jinling and Yan, Xiaoran and Chen, Guangyong and Li, Wenhui and Zhao, Yunhong and Sun, Zeyi},
booktitle={2023 IEEE International Conference on Knowledge Graph (ICKG)},
title={Investigations on Scientific Literature Meta Information Extraction Using Large Language Models},
year={2023},
volume={},
number={},
pages={249-254},
keywords={Measurement;Knowledge graphs;Information retrieval;Data mining;Task analysis;information extraction;large language model;scientific literature},
doi={10.1109/ICKG59574.2023.00036}}
``` |