Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
prompt
Text2Text-Generation
text-generation-inference
Instructions to use mxmax/Chinese_Chat_T5_Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mxmax/Chinese_Chat_T5_Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mxmax/Chinese_Chat_T5_Base") model = AutoModelForSeq2SeqLM.from_pretrained("mxmax/Chinese_Chat_T5_Base") - Notebooks
- Google Colab
- Kaggle
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胃癌如何筛查
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Model output:
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你好,胃癌的诊断标准是:1早期确诊,明确病因。2根据病史、病理类型及有无并发症等综合分析;3结合临床症状和体征进行初步判断是否为癌前病变或有肿瘤变现趋势者(如无明显变化) 4对患者的情况做进一步检查以确定治疗方案
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胃癌如何筛查
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Model output:
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你好,胃癌的诊断标准是:1早期确诊,明确病因。2根据病史、病理类型及有无并发症等综合分析;3结合临床症状和体征进行初步判断是否为癌前病变或有肿瘤变现趋势者(如无明显变化) 4对患者的情况做进一步检查以确定治疗方案
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## 引用
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@max{mxmax,
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title={chinese_chat: Chinese_Chat_T5_Base},
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author={Ma Xin},
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year={2023},
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howpublished={\url{https://huggingface.co/mxmax/Chinese_Chat_T5_Base}},
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}
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