Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
Text2Text Generation
T5
chinese
sentencepiece
text-generation-inference
Instructions to use IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese") model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
06d379d
-
Update README.md
4c80b93
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (cb97c2444a866ab77480bf360039602d62cbbf24) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>14fa271
-
update : zeroclue
42c09c0
-
update: README.md
1e390cf
-
init commit
50fe22e -
init commit
1ee2eab -
init commit
0f9529a -
add pytorch_model.bin
7965f0c -
initial commit
020b3e0