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AI モデル 84999

• sokol-1.5b-02-i1-GGUF↗

  mradermacher

• spoomplesmaxx-flash-35B-A3-GGUF↗

  mradermacher

• Veiled-Calla-4B-i1-GGUF↗

  mradermacher

• Virtuoso-Small-i1-GGUF↗

  mradermacher

• OmniVLM-968M↗

  NexaAI

• roberta_books_wiki_bpe_32k↗

  nfliu

• vi-word-segmentation↗

  NlpHUST

• gpt4all-13b-snoozy↗

  nomic-ai

• gpt4all-creative-ignore-512-epoch_0↗

  nomic-ai

• OpenMed-NER-ChemicalDetect-BigMed-560M↗

  OpenMed

  **Specialized model for Chemical Entity Recognition - Identifies chemical compounds and substances in biomedical literature** This model is a **state-of-the-art** fine-tuned transformer engineered to deliver **enterprise-grade accuracy** for chemical entity recognition - identifies chemical compounds and substances in biomedical literature. 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 BC4CHEMD dataset - **Production-Ready**: Validated on clinical benchmarks - **Easy Integration**: Compatible with Hugging Face Transformers ecosystem