Instructions to use pinglarin/summarization_papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinglarin/summarization_papers with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pinglarin/summarization_papers") model = AutoModelForSeq2SeqLM.from_pretrained("pinglarin/summarization_papers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_gen_len": 81.44, | |
| "eval_loss": 4.306642055511475, | |
| "eval_rouge1": 35.6639, | |
| "eval_rouge2": 10.5717, | |
| "eval_rougeL": 21.095, | |
| "eval_rougeLsum": 31.2685, | |
| "eval_runtime": 462.9321, | |
| "eval_samples": 100, | |
| "eval_samples_per_second": 0.216, | |
| "eval_steps_per_second": 0.054 | |
| } |