#gliclass search results
#GLiClass is based on uni-encoder transformer architecture that embeds labels and text in the same context enabling better inter-label communication, fixing in this way the main drawback of cross-encoder classifiers.
🚀 Inspired by #GLiNER we developed #GLiClass - efficient zero-shot classifiers that demonstrate comparable performance to cross-encoders while being faster. Thanks to ModernBERT introduced by @LightOnIO and @answerdotai, we can make our models even more efficient.…
🚀 Missed our performance analysis of the #GLiClass model line in #fewshot settings? Catch up here! 🎉 github.com/Knowledgator/G…
#GLiClass is based on uni-encoder transformer architecture that embeds labels and text in the same context enabling better inter-label communication, fixing in this way the main drawback of cross-encoder classifiers.
🚀 Inspired by #GLiNER we developed #GLiClass - efficient zero-shot classifiers that demonstrate comparable performance to cross-encoders while being faster. Thanks to ModernBERT introduced by @LightOnIO and @answerdotai, we can make our models even more efficient.…
🚀 Missed our performance analysis of the #GLiClass model line in #fewshot settings? Catch up here! 🎉 github.com/Knowledgator/G…
#GLiClass is based on uni-encoder transformer architecture that embeds labels and text in the same context enabling better inter-label communication, fixing in this way the main drawback of cross-encoder classifiers.
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