Migrate model card from transformers-repo
Browse filesRead announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/moumeneb1/flaubert-base-cased-ecology_crisis/README.md
README.md
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Flaubert-base-cased-ecology_crisis
|
2 |
+
|
3 |
+
An adapted [__Flaubert/Flaubert_base-cased model__](https://github.com/getalp/Flaubert) Trained further on a Language modeling Task of unlabeled French tweets used to create the [CrisisDataset](https://github.com/DiegoKoz/french_ecological_crisis), The intermediate task of masqued language modeling helped us improve the results on our [paper](http://www.sciencedirect.com/science/article/pii/S0306457320300650) compared to the standard flaubert-base-cased model.
|
4 |
+
|
5 |
+
If you use this pretrained model on your work, please cite us as follows 🤗
|
6 |
+
|
7 |
+
```
|
8 |
+
@article{Kozlowski-et-al2020,
|
9 |
+
title = "A three-level classification of French tweets in ecological crises",
|
10 |
+
journal = "Information Processing & Management",
|
11 |
+
volume = "57",
|
12 |
+
number = "5",
|
13 |
+
pages = "102284",
|
14 |
+
year = "2020",
|
15 |
+
issn = "0306-4573",
|
16 |
+
doi = "https://doi.org/10.1016/j.ipm.2020.102284",
|
17 |
+
url = "http://www.sciencedirect.com/science/article/pii/S0306457320300650",
|
18 |
+
author = "Diego Kozlowski and Elisa Lannelongue and Frédéric Saudemont and Farah Benamara and Alda Mari and Véronique Moriceau and Abdelmoumene Boumadane",
|
19 |
+
keywords = "Crisis response from social media, Machine learning, Natural language processing, Transfer learning",
|
20 |
+
}
|
21 |
+
|
22 |
+
```
|
23 |
+
|