Instructions to use wawaup/MengziT5-Comment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wawaup/MengziT5-Comment with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wawaup/MengziT5-Comment") model = AutoModelForSeq2SeqLM.from_pretrained("wawaup/MengziT5-Comment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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data16w with emotion
wawaup764e561
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Merge branch 'main' of https://huggingface.co/wawaup/MengziT5-Comment into main
wawaupadd README.md in remote then fecth to local repo75f4d08 -
dataset 10w without emotion mark
wawaupdcb2585 -
Update README.md
e5f8590 -
Create README.md
43a0492 -
first try
wawaupf3b30e4
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initial commit
8c388bf