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AI モデル 84759
- WebSailor-32B-i1-GGUF↗
mradermacher
- illustrious-sdxl-super-robot-diffusion-xl-gundam-eva-armored-core-battle-tech-like-mecha-lora↗
Muapi
- granite-20b-code-base-8k-GGUF↗
Mungert
- Jev-Omni-GGUF↗
ngquocvinh
- DeepSeek-R1-NVFP4↗
NVIDIA
- EGM-8B↗
NVIDIA
- opus-mt-en-zh-ct2-float16↗
ooeoeo
- OpenMed-NER-DNADetect-SuperMedical-125M↗
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
- OpenMed-NER-PathologyDetect-PubMed-109M↗
OpenMed
**Specialized model for Disease Entity Recognition - Disease entities from the NCBI dataset** This model is a **state-of-the-art** fine-tuned transformer engineered to deliver **enterprise-grade accuracy** for disease entity recognition - disease entities from the ncbi dataset. 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 NCBI_DISEASE dataset - **Production-Ready**: Validated on clinical benchmarks - **Easy Integration**: Compatible with Hugging Face Transformers ecosystem
- Qwen2.5-7B-Instruct-converge-v1remerge-maskn_project↗
Optitransfer