Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
Text2Text Generation
T5
chinese
sentencepiece
text-generation-inference
Instructions to use IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese") model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Randeng-T5-784M-MultiTask-Chinese
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- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
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## 简介 Brief Introduction
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# Randeng-T5-784M-MultiTask-Chinese
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- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
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- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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## 简介 Brief Introduction
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