Instructions to use BioDEX/flan-t5-large-report-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioDEX/flan-t5-large-report-extraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BioDEX/flan-t5-large-report-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("BioDEX/flan-t5-large-report-extraction") - Notebooks
- Google Colab
- Kaggle
File size: 501 Bytes
1083000 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"eval_gen_len": 59.59991690901537,
"eval_icsr_f1": 62.27808693256121,
"eval_icsr_parse_percent": 98.9613626921479,
"eval_icsr_precision": 64.60837275165605,
"eval_icsr_recall": 61.49425924856499,
"eval_loss": 0.46219757199287415,
"eval_rouge1": 65.691,
"eval_rouge2": 50.7107,
"eval_rougeL": 65.0539,
"eval_rougeLsum": 65.0624,
"eval_runtime": 2539.4445,
"eval_samples": 2407,
"eval_samples_per_second": 0.948,
"eval_steps_per_second": 0.237
} |