Instructions to use Awesome075/pegasus-large-wcep10-extracted-sentences with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Awesome075/pegasus-large-wcep10-extracted-sentences with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Awesome075/pegasus-large-wcep10-extracted-sentences") model = AutoModelForSeq2SeqLM.from_pretrained("Awesome075/pegasus-large-wcep10-extracted-sentences", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 383 Bytes
189578a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"backend": "tokenizers",
"eos_token": "</s>",
"extra_special_tokens": [
"<pad>",
"</s>",
"<n>"
],
"full_tokenizer_file": null,
"is_local": false,
"mask_token": "<mask_2>",
"mask_token_sent": "<mask_1>",
"model_max_length": 1024,
"offset": 103,
"pad_token": "<pad>",
"tokenizer_class": "PegasusTokenizer",
"unk_id": 2,
"unk_token": "<unk>"
}
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