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--- |
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language: fr |
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tags: |
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- pytorch |
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- t5 |
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- seq2seq |
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- summarization |
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datasets: cnn_dailymail |
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--- |
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# French T5 Abstractive Text Summarization |
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Version 1.0 (I will keep improving the model's performances.) |
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## Model description |
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This model is a T5 Transformers model (JDBN/t5-base-fr-qg-fquad) that was fine-tuned in french for abstractive text summarization. |
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## How to use |
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```python |
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from transformers import T5Tokenizer, T5ForConditionalGeneration |
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tokenizer = T5Tokenizer.from_pretrained("plguillou/t5-base-fr-sum-cnndm") |
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model = T5ForConditionalGeneration.from_pretrained("plguillou/t5-base-fr-sum-cnndm") |
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``` |
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To summarize an ARTICLE, just modify the string like this : "summarize: ARTICLE". |
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## Training data |
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The base model I used is JDBN/t5-base-fr-qg-fquad (it can perform question generation, question answering and answer extraction). |
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I used the "t5-base" model from the transformers library to translate in french the CNN / Daily Mail summarization dataset. |
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