Update README.md

README.md

@@ -8,13 +8,15 @@ tags:
 - formality
 licenses:
 - cc-by-nc-sa
-license: cc-by-nc-sa-4.0
+license: openrail++
+base_model:
+- distilbert/distilbert-base-multilingual-cased
 ---
 
 
 **Model Overview**
 
-This is the model presented in the paper "Detecting Text Formality: A Study of Text Classification Approaches". 
+This is the model presented in the paper ["Detecting Text Formality: A Study of Text Classification Approaches"](https://aclanthology.org/2023.ranlp-1.31/). 
 
 The original model is [mDistilBERT (base)](https://huggingface.co/distilbert-base-multilingual-cased). Then, it was fine-tuned on the multilingual corpus for fomality classiication [X-FORMAL](https://arxiv.org/abs/2104.04108) that consists of 4 languages -- English (from [GYAFC](https://arxiv.org/abs/1803.06535)), French, Italian, and Brazilian Portuguese.
 In our experiments, the model showed the best results within Transformer-based models for the cross-lingual formality classification knowledge transfer task. More details, code and data can be found [here](https://github.com/s-nlp/formality).
@@ -32,9 +34,10 @@ For cross-lingual experiments results, please, refer to the paper.
 | mDeBERTa-base    | 87.3 | 76.6 | 75.8 | 78.9 |  79.9 |
 
 **How to use**
+
 ```python
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-model_name = 'mdistilbert-base-formality-ranker'
+model_name = 's-nlp/mdistilbert-base-formality-ranker'
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 ```
@@ -61,9 +64,4 @@ model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
 ## Licensing Information
 
-[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
-
-[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
-
-[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
-[cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png
+This model is licensed under the OpenRAIL++ License, which supports the development of various technologies—both industrial and academic—that serve the public good.