readme: ---
  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
  