Instructions to use roykim/Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roykim/Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roykim/Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("roykim/Summarization") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "eval_gen_len": 20.0, | |
| "eval_loss": 1.9633301496505737, | |
| "eval_rouge1": 22.6551, | |
| "eval_rouge2": 6.1328, | |
| "eval_rougeL": 22.457, | |
| "eval_rougeLsum": 22.4619, | |
| "eval_runtime": 163.8551, | |
| "eval_samples": 7008, | |
| "eval_samples_per_second": 42.77, | |
| "eval_steps_per_second": 2.673 | |
| } |