Canada
来自 Canada 的 AI 组织和模型
活跃组织
1
收录模型数
45
最新模型
2026年9月
来自 Canada 的最新发布
2026年9月
Multilingual multimodal embedding model optimized for enterprise document retrieval, including financial documents and parsed PDFs. Shares an embedding space with Embed 5 Fast.
2026年8月
Parse v5.0 is Cohere's document parsing model for extracting ordered text, tables, images, captions, and layout-aware blocks from document images.
2026年7月
Cohere Transcribe Arabic is a multidialectal Arabic-English automatic speech recognition model optimized for far-field audio and code-switching.
2026年6月
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
2026年5月
Command A+ is Cohere's updated Command-family multimodal model with image understanding, a 128k context window, and stronger instruction-following and agentic performance.
2026年3月
Cohere Transcribe is a multilingual 2B-parameter automatic speech recognition model for audio-to-text transcription.
2026年2月
Tiny Aya Earth is a language model from Cohere for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
Tiny Aya Fire is a language model from Cohere for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
Tiny Aya Global is a language model from Cohere for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
来自 Canada 的组织
来自 Canada 的模型
按组织分组浏览完整目录。
模型数：45
Cohere
模型数：45Multilingual multimodal embedding model optimized for low latency and high throughput in interactive search and high-volume retrieval. Shares an embedding space with Embed 5 Pro.
Multilingual multimodal embedding model optimized for enterprise document retrieval, including financial documents and parsed PDFs. Shares an embedding space with Embed 5 Fast.
Parse v5.0 is Cohere's document parsing model for extracting ordered text, tables, images, captions, and layout-aware blocks from document images.
Cohere Transcribe Arabic is a multidialectal Arabic-English automatic speech recognition model optimized for far-field audio and code-switching.
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Command A+ is Cohere's updated Command-family multimodal model with image understanding, a 128k context window, and stronger instruction-following and agentic performance.