Create README.md

README.md

@@ -0,0 +1,26 @@
+---
+language: fr
+license: mit
+datasets:
+- amazon_reviews_multi
+- allocine
+widget:
+- text: "Je pensais lire un livre nul, mais finalement je l'ai trouvé super..."
+---
+
+DistilCamemBERT-Sentiment
+=========================
+
+We present DistilCamemBERT-Sentiment which is [DistilCamemBERT](https://huggingface.co/cmarkea/distilcamembert-base) fine tuned for the sentiment analysis task for the French language. The problem of the modelizations based on CamemBERT is at the scaling moment, for the production phase for example. Indeed, inference cost can be a technological issue. To counteract this effect, we propose this modelization which **divides the inference time by 2** with the same consumption power thanks to [DistilCamemBERT](https://huggingface.co/cmarkea/distilcamembert-base).
+
+Dataset
+-------
+ 
+Evaluation results
+------------------
+
+Benchmark
+---------
+
+How to use DistilCamemBERT-NER
+------------------------------