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:
- 1e0883aed5353cd8879b93dbd54b32c2406eaaee3f6cc3f186d8efc8eb27f704
- Size of remote file:
- 990 MB
- SHA256:
- 1778e87af2af47ef77486a0f5f840f1bb560450257bdb93c91fa8512c91babea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.