Transformers
PyTorch
English
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
keywords-to-text generation
data augmentation
Instructions to use beyond/genius-large-k2t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-large-k2t with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-large-k2t") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-large-k2t") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:32d7cd4bd7c580819d6160555a1a713eccaadbe2e06718768eac028057137daa
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size 1625422896
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