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
| { | |
| "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>" | |
| } | |