fastino
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gliner2-base-v1

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fastuz commited on Nov 4

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@@ -118,7 +118,7 @@ print(results)
 - **Model Type:** Bidirectional Transformer Encoder (BERT-based)
 - **Parameters:** 205M
-- **Input:** Text sequences up to 512 tokens
 - **Output:** Entities, classifications, and structured data
 - **Architecture:** Based on GLiNER with multi-task extensions
 - **Training Data:** Multi-domain datasets for NER, classification, and structured extraction

 - **Model Type:** Bidirectional Transformer Encoder (BERT-based)
 - **Parameters:** 205M
+- **Input:** Text sequences
 - **Output:** Entities, classifications, and structured data
 - **Architecture:** Based on GLiNER with multi-task extensions
 - **Training Data:** Multi-domain datasets for NER, classification, and structured extraction