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AI モデル 84759

• GPT-5.6 Sol↗

  OpenAI

  对于复杂的推理和编码，可以选择 GPT-5.6 Sol；对于智能和成本之间的平衡，可以选择 GPT-5.6 Terra；对于对成本敏感、高容量的工作负载，可以使用 GPT-5.6 Luna。 所有最新的 OpenAI 模型均支持文本和图像输入、文本输出、多语言功能以及视觉识别。这些模型可通过 Responses API 使用。

• MiniCPM-V-2_6-int4↗

  openbmb

• OpenMed-NER-DNADetect-PubMed-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

• OpenMed-PII-GTEMed-Base-149M-v1↗

  OpenMed

• tiny-random-resnet↗

  optimum-intel-internal-testing

• photorealistic-slider-sdxl-lora↗

  ostris

• PanoVLM-500M↗

  PanocularAI

  PanoVLM is a linear-attention vision-language model: a FastViT-HD vision encoder (timm) feeding a PanoLM linear-attention causal LM through a lightweight projector.

• Blink-v0.4-26B-A4B↗

  PixilabAI

• bertweet-pt-sentiment↗

  pysentimiento

  Repository: https://github.com/pysentimiento/pysentimiento/ Model trained for polarity detection in Portuguese. Base model is BERTabaporu, a RoBERTa model trained in Portuguese tweets. Use it directly with pysentimiento

• Qwen1.5-1.8B-Chat-GPTQ-Int4↗

  阿里巴巴 · Qwen