Transformers
PyTorch
English
Chinese
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
data augmentation
Instructions to use beyond/genius-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-large") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- sketch-to-text generation
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license: apache-2.0
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| [`sega-large`](https://huggingface.co/beyond/sega-large) | xM | English |
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| [`sega-base`(coming soon)]() | xM | English |
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| [`sega-large-chinese`(coming soon)]() | xM | Chinese |
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| [`sega-base-chinese`](https://huggingface.co/beyond/sega-base-chinese) | xM | Chinese |
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## Data Augmentation for Text Classification Tasks:
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- sketch-to-text generation
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license: apache-2.0
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datasets:
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| [`sega-large`](https://huggingface.co/beyond/sega-large) | xM | English |
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| [`sega-base`(coming soon)]() | xM | English |
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| [`sega-large-chinese`(coming soon)]() | xM | Chinese |
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| [`sega-base-chinese`(New!)](https://huggingface.co/beyond/sega-base-chinese) | xM | Chinese |
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## Data Augmentation for Text Classification Tasks:
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