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:
- 07614151326a8f1b0fb7a07b6c0c801814c0290c533b2ccfce30c34b4c36e58e
- Size of remote file:
- 3.14 GB
- SHA256:
- 53a9274353c0e873b6c61a84d5210bfc78d3d2f78653f7911eb5cf09a9b964ca
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