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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 327 Bytes
59e423f f63bba1 59e423f f63bba1 59e423f | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
} |