Add multilingual to the language tag

Hi! A PR to add multilingual to the language tag to improve the referencing.

README.md

@@ -2,121 +2,113 @@
 language:
 - en
 - es
+- multilingual
+license: cc-by-4.0
 tags:
 - translation
 - opus-mt-tc
-license: cc-by-4.0
 model-index:
 - name: opus-mt-tc-big-en-es
   results:
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: flores101-devtest
       type: flores_101
       args: eng spa devtest
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 28.5
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: news-test2008
       type: news-test2008
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 30.1
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: tatoeba-test-v2021-08-07
       type: tatoeba_mt
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 57.2
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: tico19-test
       type: tico19-test
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 53.0
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: newstest2009
       type: wmt-2009-news
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 30.2
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: newstest2010
       type: wmt-2010-news
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 37.6
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: newstest2011
       type: wmt-2011-news
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 38.9
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: newstest2012
       type: wmt-2012-news
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 39.5
+      name: BLEU
   - task:
-      name: Translation eng-spa
       type: translation
-      args: eng-spa
+      name: Translation eng-spa
     dataset:
       name: newstest2013
       type: wmt-2013-news
       args: eng-spa
     metrics:
-    - name: BLEU
-      type: bleu
+    - type: bleu
       value: 35.9
+      name: BLEU
 ---
 # opus-mt-tc-big-en-es
 
@@ -124,7 +116,7 @@ Neural machine translation model for translating from English (en) to Spanish (e
 
 This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
 
-* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
+* Publications: [OPUS-MT � Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge � Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
 
 ```
 @inproceedings{tiedemann-thottingal-2020-opus,
@@ -184,7 +176,7 @@ for t in translated:
     print( tokenizer.decode(t, skip_special_tokens=True) )
 
 # expected output:
-#     Una avispa lo picó y tuvo una reacción alérgica.
+#     Una avispa lo pic� y tuvo una reacci�n al�rgica.
 #     Me encanta la naturaleza.
 ```
 
@@ -195,7 +187,7 @@ from transformers import pipeline
 pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-es")
 print(pipe("A wasp stung him and he had an allergic reaction."))
 
-# expected output: Una avispa lo picó y tuvo una reacción alérgica.
+# expected output: Una avispa lo pic� y tuvo una reacci�n al�rgica.
 ```
 
 ## Benchmarks
@@ -220,7 +212,7 @@ print(pipe("A wasp stung him and he had an allergic reaction."))
 
 ## Acknowledgements
 
-The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
+The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union�s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union�s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
 
 ## Model conversion info