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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mxmax/Chinese_Chat_T5_Base: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/mxmax/Chinese_Chat_T5_Base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mxmax/Chinese_Chat_T5_Base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mxmax/Chinese_Chat_T5_Base/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 72504c11d7aa2bdd50a1c3855f61bfd7747b268a02bd3c4c461b9d4a2df27556
- Size of remote file:
- 990 MB
- SHA256:
- b41147278c579d3d325d1d79b3d7ee426a9ec147922db73c2d7dc3117aac392a
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