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AI 모델 84757

• tiny-mistral↗

  openaccess-ai-collective

• OpenMed-NER-ProteinDetect-MultiMed-335M↗

  OpenMed

  **Specialized model for Biomedical Entity Recognition - Various biomedical entities** This model is a **state-of-the-art** fine-tuned transformer engineered to deliver **enterprise-grade accuracy** for biomedical entity recognition - various biomedical entities. This specialized model excels at identifying and extracting biomedical entities from clinical texts, research papers, and healthcare documents, enabling applications such as **drug interaction detection**, **medication extraction from patient records**, **adverse event monitoring**, **literature mining for drug discovery**, and **biomedical knowledge graph construction** with **production-ready reliability** for clinical and research applications. - **High Precision**: Optimized for biomedical entity recognition - **Domain-Specific**: Trained on curated FSU dataset - **Production-Ready**: Validated on clinical benchmarks - **Easy Integration**: Compatible with Hugging Face Transformers ecosystem

• cyrillic_PP-OCRv5_mobile_rec↗

  PaddlePaddle

• Qwen3.5-27B-abliterated-v2-MAX↗

  prithivMLmods

• japanese-hubert-base-phoneme-ctc-v5↗

  prj-beatrice

• unispeech-wavlm-large-ecapa-tdnn-torch-native↗

  prj-beatrice

• Matter-0.1-7B-GGUF↗

  QuantFactory

• Laguna-XS.2-NVFP4↗

  RedHatAI

• cognitivecomputations_-_dolphin-2.9.2-qwen2-7b-gguf↗

  RichardErkhov

• internlm_-_internlm2-math-base-7b-gguf↗

  RichardErkhov