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Performance-Critical Applications – Many performance-intensive apps use Go for concurrency and efficiency. Native bindings allow seamless integration without overhead.
Server-Side NLP – Go is widely used in backend services. Golang bindings would make it easier to use Hugging Face tokenizers in APIs, microservices, and inference systems.
Better Compatibility – Many Go-based projects rely on Python/C++ workarounds for NLP tasks. Direct bindings would reduce complexity and improve developer experience.
Improved Inference Pipelines – Many real-time AI systems are built in Go. Native tokenizers would remove Python bottlenecks, making pipelines faster and more reliable
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The text was updated successfully, but these errors were encountered: