Update README.md

README.md

@@ -1 +1,32 @@
-"hello" 
+---
+language: fr
+tags:
+- pytorch
+- t5
+- seq2seq
+- summarization
+datasets: cnn_dailymail
+---
+
+# French T5 Abstractive Text Summarization
+
+## Model description
+
+This model is a T5 Transformers model (JDBN/t5-base-fr-qg-fquad) that was fine-tuned in french for abstractive text summarization.
+
+## How to use
+
+```python
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+tokenizer = T5Tokenizer.from_pretrained("plguillou/t5-base-fr-sum-cnndm")
+model = T5ForConditionalGeneration.from_pretrained("plguillou/t5-base-fr-sum-cnndm")
+```
+
+To summarize an ARTICLE, just modify the string like this : "summarize: ARTICLE".
+
+## Training data
+
+The base model I used is JDBN/t5-base-fr-qg-fquad (it can perform question generation, question answering and answer extraction).
+
+I used the "t5-base" model from the transformers library to translate in french the CNN / Daily Mail summarization dataset.
+