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An Instruction-tuned Large Language Model for E-commerce
As this title. I'm very curious about your work and cannot wait to see the actual data. Looking forward to further opensourcing!
In the paper, you said "collect a wide range of E-commerce natural language processing (NLP) datasets from open data sources" for Instruction Tuning, which open data sources did you used?
非常感谢分享,是否有计划开源训练数据
python eval.py -tf ./test_tasks.txt -m [model name or path] -sn [result file name] -bdd [base dataset dir]
无法正常运行,eval.py中关键函数和class还未开源,inp, out = next(task.encode_to_input_output(i, args))
Great work, and thanks for making your work publicly available.
I was wondering if there are any plans to make this model publicly available on HuggingFace like it is on modelscope.
modelscope.hub.errors.NoValidRevisionError: The model: damo/nlp_ecomgpt_multilingual-7B-ecom has no valid revision!
Congratulations, very exciting and solid work, when will the code and dataset be open source?
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