Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
Text2Text Generation
T5
chinese
sentencepiece
text-generation-inference
Instructions to use IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese") model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7771bdf23790724f4ae4873892b6011a940b3075540f35815e7727d1aa85d399
- Size of remote file:
- 310 MB
- SHA256:
- 672f4076e5023fb899fcf29e0f1a00f81ceea75c491c0642cef7723df673a988
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