Transformers
PyTorch
Italian
t5
text2text-generation
text2text_generation
question_answering
text-generation-inference
Instructions to use z-uo/it5-squadv1-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-uo/it5-squadv1-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("z-uo/it5-squadv1-it") model = AutoModelForSeq2SeqLM.from_pretrained("z-uo/it5-squadv1-it") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "eval_gen_len": 9.2974, | |
| "eval_loss": 0.5938774347305298, | |
| "eval_rouge1": 17.5052, | |
| "eval_rouge2": 5.8714, | |
| "eval_rougeL": 17.4487, | |
| "eval_rougeLsum": 17.4528, | |
| "eval_runtime": 905.9638, | |
| "eval_samples": 10570, | |
| "eval_samples_per_second": 11.667, | |
| "eval_steps_per_second": 3.89, | |
| "train_loss": 0.1063714675380759, | |
| "train_runtime": 3374.8833, | |
| "train_samples": 87599, | |
| "train_samples_per_second": 51.912, | |
| "train_steps_per_second": 17.304 | |
| } |