Instructions to use gianclbal/attainment_bart_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianclbal/attainment_bart_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gianclbal/attainment_bart_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("gianclbal/attainment_bart_summarization") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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": 142, | |
| "min_length": 56, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.33.2" | |
| } | |