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
Upload BartForConditionalGeneration
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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{
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"_name_or_path": "saved_models/bart-large-cnn-wikipedia-paras-yake-importance-
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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{
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"_name_or_path": "../saved_models/bart-large-cnn-wikipedia-paras-yake-importance-10000d-final",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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pytorch_model.bin
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