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/f1bd62b66b3cef3bb770546ce68f66e896ce663b/pytorch_model.bin
- Command line
-
hf download hf://mxmax/Chinese_Chat_T5_Base@f1bd62b66b3cef3bb770546ce68f66e896ce663b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mxmax/Chinese_Chat_T5_Base/resolve/f1bd62b66b3cef3bb770546ce68f66e896ce663b/pytorch_model.bin
990 MB
- Xet hash:
- eaf7ddf2510fd3de84e0ece2b0ed118abb24c40469a1e54c45d5be5176023ab8
- Size of remote file:
- 990 MB
- SHA256:
- 073e66d82ae2a1abaef294856f77d2769da4f44a14f17db3001be9b657e8eacf
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