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
| { | |
| "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 | |
| } |