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:
- 8feb4d9e8d029d18538cb784cb3fd15b4d8d467668d20a3c68567d92c4b210a7
- Size of remote file:
- 1.63 GB
- SHA256:
- ee5f3072e12f785c528f1c25e69772493204d010fe599f256197dc8309d65fe1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.