 
				numind/NuNER_Zero
			Token Classification
			• 
		
				0.4B
			• 
	
				Updated
					
				
				• 
					
					18.7k
				
	
				• 
					
					95
				
The best compact Zero-Shot NER models with MIT license
 
				Note The Zero-shot NER model * +3.1% more capable than GLiNER-large-v2.1 * reliably works with long entities (5 tokens+) * trained on diverse dataset tailored for real-life use cases
 
				Note The Zero-shot NER model * +4.5% more capable than GLiNER-large-v2.1 * trained on diverse dataset tailored for real-life use cases
 
				Note The Zero-shot NER model * 4096 context window * reliably works with long entities (5 tokens+) * +1% more capable than GLiNER-large-v2.1 * trained on diverse dataset tailored for real-life use cases
Note Paper citation for this work