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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-large") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49cd8cd33da54d34b252ac4284501978856f8291b6496458ab84a1db2147d7b3
- Size of remote file:
- 1.63 GB
- SHA256:
- 0b4456df3e6f17fd10b4b77acccb538836cd82d15d8accf54c7bdb09cb02a188
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