[model cards] fix yaml in cards (#7207)

scripts/fsmt/gen-card-allenai-wmt16.py

@@ -25,8 +25,9 @@ def write_model_card(model_card_dir, src_lang, tgt_lang, model_name):
 
     readme = f"""
 ---
-
-language: {src_lang}, {tgt_lang}
+language:
+- {src_lang}
+- {tgt_lang}
 thumbnail:
 tags:
 - translation

scripts/fsmt/gen-card-allenai-wmt19.py

@@ -25,7 +25,9 @@ def write_model_card(model_card_dir, src_lang, tgt_lang, model_name):
     readme = f"""
 ---
 
-language: {src_lang}, {tgt_lang}
+language:
+- {src_lang}
+- {tgt_lang}
 thumbnail:
 tags:
 - translation

scripts/fsmt/gen-card-facebook-wmt19.py

@@ -26,14 +26,14 @@ def write_model_card(model_card_dir, src_lang, tgt_lang):
 
     readme = f"""
 ---
-
-<!-- This file has been auto-generated by src/transformers/convert_fsmt_original_pytorch_checkpoint_to_pytorch.py - DO NOT EDIT or your changes will be lost -->
-
-language: {src_lang}, {tgt_lang}
+language: 
+- {src_lang}
+- {tgt_lang}
 thumbnail:
 tags:
 - translation
 - wmt19
+- facebook
 license: Apache 2.0
 datasets:
 - http://www.statmt.org/wmt19/ ([test-set](http://matrix.statmt.org/test_sets/newstest2019.tgz?1556572561))
@@ -69,7 +69,7 @@ mname = "facebook/wmt19-{src_lang}-{tgt_lang}"
 tokenizer = FSMTTokenizer.from_pretrained(mname)
 model = FSMTForConditionalGeneration.from_pretrained(mname)
 
-input = "{texts[src_lang]}
+input = "{texts[src_lang]}"
 input_ids = tokenizer.encode(input, return_tensors="pt")
 outputs = model.generate(input_ids)
 decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)