The adaptive classifier is a text classification model that supports continuous learning and dynamic addition of categories. It is built based on the ModernBERT-base architecture and can adapt to new categories and examples without retraining.

Natural Language ProcessingSafetensorsOther

The Adaptive Classifier is a text classification model that supports continuous learning and dynamic addition of categories. It is built on ModernBERT-base and can adapt to new categories and data without retraining.

Natural Language ProcessingSafetensorsOther

The Adaptive Classifier is a text classification model that supports continuous learning and dynamic addition of categories. It is built based on the ModernBERT-base architecture and can continuously update the model to adapt to new data, flexibly meeting different classification needs.

Natural Language ProcessingSafetensorsOther

Model fine-tuned based on ModernBERT-base, achieving an F1 score of 0.3833 on the evaluation set

Natural Language ProcessingTransformers

A sequence classification model based on ModernBERT, fine-tuned specifically for summary quality assessment in question answering scenarios

Natural Language ProcessingSafetensorsEnglish

BioClinical ModernBERT is a biomedical and clinical natural language processing model built on ModernBERT, with the ability to process long contexts and performs excellently in biomedical and clinical NLP tasks.

Natural Language ProcessingTransformersEnglish

A model fine-tuned on the arxiv-new-datasets dataset based on ModernBERT-base, primarily used for text classification tasks

Natural Language ProcessingTransformers

A Japanese large language model based on the modernBERT-base architecture, supporting a maximum sequence length of 8192, trained on 3.4TB of Japanese corpus

Natural Language ProcessingTransformersJapanese

A multilingual code search model optimized based on the ModernBERT architecture, supporting semantic matching between natural language and code

Natural Language ProcessingRustMultiple Languages

A lightweight text rejection detection classifier based on the ModernBERT-large architecture, excelling at identifying rejection content in Q&A pairs.

Natural Language ProcessingTransformers

This is a text classifier based on the ModernBERT-large architecture, specifically designed to identify and filter rejection expressions and other non-answer content in the fields of creative writing and role-playing, providing precise text screening functions for related creations and interactions.

Natural Language ProcessingTransformersEnglish

A machine-generated text detection model based on the ModernBERT-base architecture, designed to prevent language model collapse

Natural Language ProcessingSafetensorsEnglish

A French language model pre-trained on 1 trillion high-quality French texts, the French version of ModernBERT

Natural Language ProcessingTransformersFrench

ModernCamemBERT is a French language model pre-trained on a 1T high-quality French text corpus. It is the French version of ModernBERT, focusing on long contexts and efficient inference speed.

Natural Language ProcessingTransformersFrench

Ruri v3 is a general Japanese text embedding model based on ModernBERT-Ja, achieving industry-leading performance in Japanese text embedding tasks and supporting sequences up to 8192 tokens long.

Natural Language ProcessingSafetensorsJapanese

Ruri v3 is a Japanese general text embedding model based on ModernBERT-Ja, achieving state-of-the-art performance in Japanese text embedding tasks, supporting sequences up to 8192 tokens.

Natural Language ProcessingSafetensorsJapanese

Ruri v3 is a Japanese general-purpose text embedding model based on ModernBERT-Ja, supporting sequences up to 8192 tokens long and achieving state-of-the-art performance in Japanese text embedding tasks.

Natural Language ProcessingSafetensorsJapanese

A model based on ModernBERT-base for predicting the reasoning complexity level (0-4) of text, suitable for educational content filtering and reasoning dataset creation.

Natural Language ProcessingTransformersEnglish

Ruri v3 is a Japanese general-purpose text embedding model based on ModernBERT-Ja, supporting sequence processing of up to 8192 tokens and delivering top-tier performance in Japanese text embedding tasks.

Natural Language ProcessingSafetensorsJapanese

A Japanese general-purpose reranking model built on ModernBERT-Ja, featuring top-tier performance and long-sequence processing capabilities

Natural Language ProcessingSafetensorsJapanese