Instructions to use ektvho/bart-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ektvho/bart-cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ektvho/bart-cnn", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("ektvho/bart-cnn", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "forced_bos_token_id": 0, | |
| "forced_eos_token_id": 2, | |
| "length_penalty": 2.0, | |
| "max_length": 512, | |
| "min_length": 128, | |
| "no_repeat_ngram_size": null, | |
| "num_beams": 5, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.30.2" | |
| } | |