Instructions to use Babelscape/t5-base-summarization-claim-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/t5-base-summarization-claim-extractor with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Babelscape/t5-base-summarization-claim-extractor") model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/t5-base-summarization-claim-extractor") - Notebooks
- Google Colab
- Kaggle
| { | |
| "num_return_sequences": 1, | |
| "num_beams": 5, | |
| "min_length": 2, | |
| "max_length": 250, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0 | |
| } | |