Instructions to use owenMills/PAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owenMills/PAS with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("owenMills/PAS") model = AutoModelForSeq2SeqLM.from_pretrained("owenMills/PAS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.634920634920635, | |
| "eval_gen_len": 16.923076923076923, | |
| "eval_loss": 3.0688347816467285, | |
| "eval_rouge1": 14.6955, | |
| "eval_rouge2": 2.3544, | |
| "eval_rougeL": 14.3756, | |
| "eval_rougeLsum": 14.3304, | |
| "eval_runtime": 0.736, | |
| "eval_samples": 13, | |
| "eval_samples_per_second": 17.664, | |
| "eval_steps_per_second": 2.717, | |
| "total_flos": 33578377297920.0, | |
| "train_loss": 3.8711446126302085, | |
| "train_runtime": 17.52, | |
| "train_samples": 126, | |
| "train_samples_per_second": 21.575, | |
| "train_steps_per_second": 1.199 | |
| } |