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
- Xet hash:
- 8b24f9e7fba0b97310c8802857d191913b50ce9d5c561244e127e1475c2024ac
- Size of remote file:
- 465 MB
- SHA256:
- 7fe243d050529f3f2950e9191d7a9875df308c011971fde3969a2781f9a88c9d
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