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English(EN) We want our models to be widely accessible and customizable for the dev community. So we got some partners to help us out.

Cohere 通过 MLX、Axolotl 和 NVIDIA 集成扩展了 North Micro Vision 模型支持

Cohere 宣布为其 North Micro Vision 模型提供扩展支持,支持在各种平台上进行微调和部署。该模型现在支持 MLX,可在 Apple 设备上高效运行,并与 Axolotl.ai 集成以简化训练。此外,Cohere 还与 NVIDIA 合作,提供了一个 AutoModel 配方,用于在 NVIDIA GPU 上部署 North Micro Vision,从而提高了其对开发者的可访问性。 AI

影响 通过新的集成和部署选项,提高了 CohereNorth Micro Vision 模型对开发者的可访问性和可定制性。

排序理由 该集群详细介绍了现有模型的集成和支持,而不是新模型发布或重要研究。

在 X — Cohere 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

Cohere 通过 MLX、Axolotl 和 NVIDIA 集成扩展了 North Micro Vision 模型支持

报道来源 [4]

  1. X — Cohere TIER_1 English(EN) · cohere ·

    MLX support comes from @Prince_Canuma. Run our model from your Apple devices quickly and cleanly. https://t.co/oSaFU34xlz

    MLX support comes from @Prince_Canuma. Run our model from your Apple devices quickly and cleanly. https://t.co/oSaFU34xlz

  2. X — Cohere TIER_1 English(EN) · cohere ·

    Speaking of fine-tuning, we’ve got support on @axolotl_ai. Start training North Micro Vision right away, no hardware required. Find their docs here: https://t.c

    Speaking of fine-tuning, we’ve got support on @axolotl_ai. Start training North Micro Vision right away, no hardware required. Find their docs here: https://t.co/hmc6DaGCxH

  3. X — Cohere TIER_1 English(EN) · cohere ·

    AutoModel recipe from our pals at @NVIDIAAI. Make North Micro Vision all your own by fine-tuning and deploying on NVIDIA GPUs. https://t.co/sonOjtJ5tO

    AutoModel recipe from our pals at @NVIDIAAI. Make North Micro Vision all your own by fine-tuning and deploying on NVIDIA GPUs. https://t.co/sonOjtJ5tO

  4. X — Cohere TIER_1 English(EN) · cohere ·

    We want our models to be widely accessible and customizable for the dev community. So we got some partners to help us out.

    We want our models to be widely accessible and customizable for the dev community. So we got some partners to help us out. Fine-tune North Micro Vision for advanced document understanding use cases that run on a variety of edge devices.