Instructions to use rmihaylov/pegasus-base-cnn-dailymail-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/pegasus-base-cnn-dailymail-bg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rmihaylov/pegasus-base-cnn-dailymail-bg") model = AutoModelForSeq2SeqLM.from_pretrained("rmihaylov/pegasus-base-cnn-dailymail-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "special_tokens_map_file": "/content/drive/My Drive/Colab Models/BART BASE/pytorch_model/special_tokens_map.json", "full_tokenizer_file": null, "name_or_path": "/content/tokenizer/", "tokenizer_class": "AlbertTokenizer"} |