metadata
base_model:
- mistralai/Mistral-7B-Instruct-v0.3
datasets:
- NingLab/MMECInstruct
license: cc-by-4.0
pipeline_tag: image-text-to-text
library_name: transformers
CASLIE-M
This repository contains the CASLIE-M model presented in the paper Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.
Project page: https://ninglab.github.io/CASLIE/ Code: https://github.com/ninglab/CASLIE
CASLIE Models
The CASLIE-M model is instruction-tuned from the medium-size base model Mistral-7B-Instruct-v0.3.
Sample Usage
To conduct inference, run python inference.py --model_path $model_path --task $task --output_path $output_path.
$model_path is the path of the instruction-tuned model.
$task specifies the task to be tested.
$output_path specifies the path where you want to save the inference output.
Example:
python inference.py --model_path NingLab/CASLIE-M --task answerability_prediction --output_path ap.json
Citation
@article{ling2024captions,
title={Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data},
author={Ling, Xinyi and Peng, Bo and Du, Hanwen and Zhu, Zhihui and Ning, Xia},
journal={arXiv preprint arXiv:2410.17337},
year={2024}
}