Add metadata, link to code

This PR improves the model card by adding the missing metadata tags and linking to the Github repository. This will ensure the model can be found at https://huggingface.co/models?pipeline_tag=feature-extraction.

README.md

@@ -1,7 +1,14 @@
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: feature-extraction
+---
+
 ### ✨ [ACL 2025] Incorporating Domain Knowledge into Materials Tokenization
 
 You can find this paper in [here](https://arxiv.org/abs/2506.11115)
 
+Code: this https URL
 
 If you only want to extract material concepts (material term or material formula) using **MatDetector**, please follow the steps below.
 
@@ -81,15 +88,17 @@ with open(os.path.join(output_directory, "mf.txt"), "w") as mf_file, \
                 final_label = determine_label(tokenized, probabilities, label_map)
 
                 if final_label == "O":
-                    o_file.write(f"{original_word}\n")
+                    o_file.write(f"{original_word}
+")
                 elif final_label in ["B-mf", "I-mf"]:
-                    mf_file.write(f"{original_word}\n")
+                    mf_file.write(f"{original_word}
+")
                 elif final_label in ["B-matname", "I-matname"]:
-                    matname_file.write(f"{original_word}\n")
+                    matname_file.write(f"{original_word}
+")
 
                 progress_bar.update(1)
 
 print("Processing completed. Files saved as mf.txt, matname.txt, and o_tags.txt.")
 
-```
-
+```