urchade
@urchadeDS
Researcher @fastinoAI | Creator of GLiNER Models (GLiNER2, GLiNER2.5, GLiGuard)
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Easy GLiNER2.5 fine-tuning with Fastino Agent:
We've launched a new GLiNER2 model, heavily tuned for multi-task classification.
GLiNER2.5-Decide: 340M encoder, any label set you pass at call time. Intent, routing, priority, sentiment, multi-label tags; several heads scored in one forward pass. No prompt template, no generated tokens.
Weights:
Fine-tune your own using our agent:
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GLiNER2 is very easy to fine-tuned and the best open source alternative to jev
GLiNER2 is very ahead of his time, here the demo I have presented at #EMNLP2025#
