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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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- ARTeLab/fanpage |
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--- |
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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 AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = T5Tokenizer.from_pretrained("efederici/it5-efficient-small-fanpage") |
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model = T5ForConditionalGeneration.from_pretrained("efederici/it5-efficient-small-fanpage") |
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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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