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:
# pip install -U transformers accelerate # 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 model.safetensors 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/refs%2Fpr%2F5/model.safetensors
- Command line
-
hf download hf://mxmax/Chinese_Chat_T5_Base@refs/pr/5/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mxmax/Chinese_Chat_T5_Base/resolve/refs%2Fpr%2F5/model.safetensors
990 MB
- Xet hash:
- 02c3e626edca6cb0ed8cb530a7c5958c5a30856250a1543bb30d99346baba6e4
- Size of remote file:
- 990 MB
- SHA256:
- 95b2dec988ef3623ebb112b10bfd202b054cf4d6d57732c0ffc24da5c3964f9b
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