# Distilled BERT

A DistilBERT-based text classification model for distinguishing between food and non-food texts

This is a sentence transformer model based on distilled BERT, supporting Korean and English for sentence similarity calculation and feature extraction.

This is a Chinese sentence embedding model suitable for general semantic matching scenarios. Through distillation technology, it has been reduced from a 12-layer BERT to a 4-layer model, significantly improving inference speed while maintaining good performance.

A lightweight sentiment analysis model based on DistilBERT, retaining 97% of BERT's language understanding capability through knowledge distillation, with a 40% smaller size and faster inference speed.

This is a distilled version of the Indonesian BERT base model, specifically designed for Indonesian language processing in a case-insensitive format.

This is a French-specific version of the multilingual distilled BERT base model, retaining the original model's accuracy while being more compact.

This is a customized lightweight version of distilbert-base-multilingual-cased, specifically optimized for Italian while maintaining the original accuracy.

A Thai version customized from the multilingual distilled BERT base model, retaining the original model's accuracy and feature representation capabilities.

This is a lightweight version of distilbert-base-multilingual-cased, specifically optimized for English and Norwegian, reducing model size while maintaining original accuracy.

This is a compact version of distilbert-base-multilingual-cased, specifically optimized for Norwegian while maintaining the original model's accuracy.

This is a compact version of the multilingual distilled BERT base model (case-sensitive), specifically optimized for Russian, capable of generating semantic representations identical to the original model while maintaining its accuracy.

This is a customized and compact version of distilbert-base-multilingual-cased for Romanian, fully replicating the original model's representational capabilities with maintained accuracy.

This is a customized distilled version of the multilingual DistilBERT base model, optimized for Vietnamese language processing while retaining the original model's representational capabilities and accuracy.

This is a distilled version of distilbert-base-multilingual-cased, specifically optimized for English and Russian, maintaining the original model's accuracy.

This is a customized compact version of distilbert-base-multilingual-cased, specifically optimized for Danish while maintaining the original model's representation accuracy.