Transformers
PyTorch
English
Chinese
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
data augmentation
Instructions to use beyond/genius-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-base-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-base-chinese") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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example_title: "草稿1"
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- text: "自然语言处理[MASK]谷歌[MASK]通用人工智能[MASK]"
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example_title: "草稿2"
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inference:
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num_beams: 3
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do_sample: True
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**SEGA: SkEtch-based Generative Augmentation** \
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**基于草稿的生成式增强模型**
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widget:
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- text: "[MASK]酸菜鱼火锅[MASK]很美味,味道绝了[MASK]周末真开心[MASK]"
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example_title: "草稿1"
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- text: "自然语言处理[MASK]谷歌公司[MASK]通用人工智能[MASK]"
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example_title: "草稿2"
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inference:
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num_beams: 3
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do_sample: True
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# "SEGA-base-chinese" model
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**SEGA: SkEtch-based Generative Augmentation** \
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**基于草稿的生成式增强模型**
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