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") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 70e9c52fbb818a299fc66130387fa89b4db2c11fae2fbef04d370f158bb1e63f
- Size of remote file:
- 1.14 MB
- SHA256:
- f4b469df35a19a35cdb57c0517d6a4c145496d37271bc6a0fae2aa2a256eb708
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