# Domain Adaptation

Mini-InternVL2-DA-RS is a multimodal model optimized for the remote sensing image domain, based on the Mini-InternVL architecture. It has been fine-tuned through a domain adaptation framework and demonstrates excellent performance in remote sensing image understanding tasks.

BiomedCLIP is a biomedical vision-language processing model developed by Microsoft, based on PubMedBERT and ViT architecture, specifically designed for the biomedical domain.

A financial domain-specific chat model developed based on LLaMA-2-Chat-7B, optimized for domain knowledge through reading comprehension methods

Korean Q&A model fine-tuned on the custom_squad_v2 dataset based on monologg/kobigbird-bert-base

INSTRUCTOR-Large is a general embedding model capable of mapping any text fragment into a fixed-length vector, achieving domain specificity and task awareness through instruction control.

An air traffic control speech recognition model fine-tuned on wav2vec2-xls-r-300m, supporting English

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the ATCOSIM corpus, specifically designed for automatic speech recognition tasks in air traffic control communications.

BERT model fine-tuned on sports-related data based on bert-base-uncased

CamemBERT base model domain-adapted with 15GB of French tweet data, specialized for French natural language processing tasks