Description
GLiNER2.5-Decide is a specialized classification model within the GLiNER2.5 family, featuring 340 million parameters. It is designed to handle operational decision-making tasks across a variety of domains, including customer support, banking, travel, and more. The model allows users to pass any label set at call time, such as intent, routing, sentiment, priority, policy, and multi-label tags, all in a single forward pass. This flexibility makes it suitable for tasks that require quick and accurate classification without the need for prompt templates or generated tokens.
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The model is particularly effective in scenarios where multiple decisions need to be made simultaneously. For instance, in customer support, it can route messages before a human sees them, determining the appropriate action based on the content of the message. In banking, it can classify complex customer requests involving multiple topics like failed payments or beneficiary changes. Similarly, in travel and clinic requests, it can distinguish between different types of requests and route them accordingly.
GLiNER2.5-Decide has been benchmarked against several other models, achieving an average exact-match accuracy of 60.2% across 17 domains with 300 held-out examples each. This performance makes it a reliable choice for businesses looking to automate decision-making processes in various operational contexts.
The model is not a general-purpose AI; it does not perform reasoning, provide explanations, or answer open-ended questions. Instead, it excels in specific operational tasks, making it a valuable tool for businesses in sectors like customer service, banking, travel, and healthcare. It runs on both CPU and GPU and is available under the Apache 2.0 license.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
GLiNER2.5-Decide Highlights
340M parameter classification model
Supports single and multi-label tasks
High accuracy across 17 domains
No prompt templates required
Runs on CPU and GPU
Apache 2.0 license
Specialized for operational decisions
Benchmark accuracy of 60.2%
Getting Started with GLiNER2.5-Decide
Access model: Visit Hugging Face
Authenticate: Use your credentials
Set up environment: Install dependencies
Integrate via API: Use AutoExtractor
Optimize: Fine-tune for specific tasks
GLiNER2.5-Decide's Use Cases
- Customer Support
- Banking Requests
- Travel Requests
- Clinic Requests
- Review Sentiment
