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AI モデル 84759

• InternVL2_5-4B-AWQ↗

  OpenGVLab

• OpenMed-NER-DNADetect-ElectraMed-335M↗

  OpenMed

  **Specialized model for Biomedical Entity Recognition - Proteins, DNA, RNA, cell lines, and cell types** This model is a **state-of-the-art** fine-tuned transformer engineered to deliver **enterprise-grade accuracy** for biomedical entity recognition - proteins, dna, rna, cell lines, and cell types. 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 JNLPBA dataset - **Production-Ready**: Validated on clinical benchmarks - **Easy Integration**: Compatible with Hugging Face Transformers ecosystem

• tiny-random-MobileBertModel↗

  optimum-intel-internal-testing

• pqn-ai-v1↗

  pqn-ai

• Ph3task2-14B-GGUF↗

  QuantFactory

• Hy-MT2-30B-A3B-MLX-8bit↗

  QwQbb

• magiv3↗

  ragavsachdeva

• autoprogrammer_-_Llama-3.2-1B-Instruct-Ja-version2-gguf↗

  RichardErkhov

• MadKFC_-_MergedCPsyModel-gguf↗

  RichardErkhov

• microsoft_-_Phi-3-medium-128k-instruct-gguf↗

  RichardErkhov