---
license: apache-2.0
tags:
- summarization
language:
- it
datasets:
- ARTeLab/fanpage
---
# it5-efficient-small-fanpage

It is a T5 ([IT5](https://huggingface.co/stefan-it/it5-efficient-small-el32)) efficient small model trained on [Fanpage](https://huggingface.co/datasets/ARTeLab/fanpage).  

<p align="center">
    <img src="https://compass-media.vogue.it/photos/61e574067f70d15c08312807/master/w_1600%2Cc_limit/DavideBalliano_UNTITLED_0215_%25206060_2021_1_Crop.jpeg" width="400"> </br>
    Davide Balliano, Untitled 
</p>

## Usage and Performance

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = T5Tokenizer.from_pretrained("efederici/it5-efficient-small-fanpage")
model = T5ForConditionalGeneration.from_pretrained("efederici/it5-efficient-small-fanpage")
```

### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1