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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 441 Bytes
485ed20 aefd914 485ed20 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"add_prefix_space": false,
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"errors": "replace",
"mask_token": "<mask>",
"model_max_length": 1024,
"name_or_path": "../saved_models/bart-large-cnn-wikipedia-paras-yake-importance-10000d-final",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": null,
"tokenizer_class": "BartTokenizer",
"trim_offsets": true,
"unk_token": "<unk>"
}
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