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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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tags:
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- summarization
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language:
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- it
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datasets:
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- fanpage
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# it5-efficient-small-fanpage
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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).
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<p align="center">
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<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>
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Davide Balliano, Untitled
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</p>
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## Usage and Performance
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```python
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from transformers import T5Tokenizer, T5ForConditionalGeneration
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tokenizer = T5Tokenizer.from_pretrained("ARTeLab/it5-summarization-fanpage-128")
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model = T5ForConditionalGeneration.from_pretrained("ARTeLab/it5-summarization-fanpage-128")
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```
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### Framework versions
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- Transformers 4.19.0.dev0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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