Update README.md

README.md

@@ -146,6 +146,8 @@ def classify_url(url: str) -> URLClassificationResult:
         label=label_map[result["label"]],
         confidence=result["score"]
     )
+```
+
 Limitations and Bias
 Max URL Length: Model trained on 64-token sequences. Longer URLs are truncated.
 Domain Focus: Optimized for e-commerce and business websites
@@ -156,6 +158,7 @@ Uncommon TLDs
 Very short URLs
 Internationalized domain names
 Intended Use
+
 Primary Use Cases:
 URL filtering and categorization pipelines
 Lead qualification systems
@@ -176,6 +179,7 @@ Citation
   publisher = {HuggingFace},
   howpublished = {\url{https://huggingface.co/DiligentAI/urlbert-url-classifier}}
 }
+
 License
 MIT License
 Framework Versions
@@ -197,15 +201,4 @@ Performance metrics (metrics.json)
 Contact
 For issues, questions, or feedback:
 GitHub: DiligentAI/url-classifier
-Organization: DiligentAI
-
-This model card includes:
-
-1. **Metadata** (YAML front matter) for HuggingFace widgets and indexing
-2. **Model description** and purpose
-3. **Complete training details** from your config
-4. **Performance metrics** with quality gates
-5. **Usage examples** (transformers, pipeline, Pydantic)
-6. **Limitations** and intended use cases
-7. **Citation** and licensing information
-8. **Technical specifications** and dependencies
+Organization: DiligentAI