Instructions to use learn3r/bart_memsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/bart_memsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/bart_memsum") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/bart_memsum") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 9.96, | |
| "eval_loss": 1.7430976629257202, | |
| "eval_runtime": 16.7302, | |
| "eval_samples": 972, | |
| "eval_samples_per_second": 58.099, | |
| "eval_steps_per_second": 1.853, | |
| "train_loss": 2.0321115493774413, | |
| "train_runtime": 22233.3267, | |
| "train_samples": 17457, | |
| "train_samples_per_second": 7.852, | |
| "train_steps_per_second": 0.008 | |
| } |