Add library_name and fix language metadata

This PR improves the model card by:
- Adding `library_name: transformers` to the metadata. This enables the automated "How to use" widget on the model page for seamless integration with the Transformers library, based on the provided code snippet.
- Correcting the `language` metadata by removing the invalid `false` entry and adding `no` (Norwegian), ensuring it accurately reflects the supported languages listed in the model card content.

Please review and merge if these changes are appropriate.

README.md

@@ -1,4 +1,8 @@
 ---
+base_model:
+- NiuTrans/LMT-60-8B-Base
+datasets:
+- NiuTrans/LMT-60-sft-data
 language:
 - en
 - zh
@@ -60,15 +64,12 @@ language:
 - ur
 - uz
 - yue
+license: apache-2.0
 metrics:
 - bleu
 - comet
-datasets:
-- NiuTrans/LMT-60-sft-data
-base_model:
-- NiuTrans/LMT-60-8B-Base
-license: apache-2.0
 pipeline_tag: translation
+library_name: transformers
 ---
 
 ## LMT
@@ -100,7 +101,9 @@ model_name = "NiuTrans/LMT-60-8B"
 tokenizer = AutoTokenizer.from_pretrained(model_name, padding_side='left')
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
-prompt = "Translate the following text from English into Chinese.\nEnglish: The concept came from China where plum blossoms were the flower of choice.\nChinese: "
+prompt = "Translate the following text from English into Chinese.
+English: The concept came from China where plum blossoms were the flower of choice.
+Chinese: "
 messages = [{"role": "user", "content": prompt}]
 text = tokenizer.apply_chat_template(
     messages,