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
- Xet hash:
- 02c3e626edca6cb0ed8cb530a7c5958c5a30856250a1543bb30d99346baba6e4
- Size of remote file:
- 990 MB
- SHA256:
- 95b2dec988ef3623ebb112b10bfd202b054cf4d6d57732c0ffc24da5c3964f9b
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