Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
chinese poem
中文
对联
text-generation-inference
Instructions to use hululuzhu/chinese-couplet-t5-mengzi-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hululuzhu/chinese-couplet-t5-mengzi-finetune with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hululuzhu/chinese-couplet-t5-mengzi-finetune") model = AutoModelForSeq2SeqLM.from_pretrained("hululuzhu/chinese-couplet-t5-mengzi-finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d131a657dc392a59a6e21c8ec88399f8e106c663e3b605a181dcbbd361fe510
- Size of remote file:
- 990 MB
- SHA256:
- 63f8d47f5c4fb9a8b35a15d4a0f14d066c83706467e0e96b9a1d7105b86d87d6
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