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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README.md
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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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## 引用
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```bash
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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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```
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