change: routing logic change for Hugging Face DLCs#5960
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alvarobartt
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Jun 18, 2026
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Thank you, only nit is in the model_task check for Text Embeddings Inference which is missing text-ranking task, see https://huggingface.co/models?pipeline_tag=text-ranking&other=text-embeddings-inference&sort=trending
huggingface-pytorch-inference images add: huggingface-vllm, huggingface-sglang, huggingface-vllm-omni families metadata Signed-off-by: DWarez <dario.salvati@huggingface.co>
…elBuilder Add ModelServer.VLLM/SGLANG/VLLM_OMNI and teach ModelBuilder's auto-detection to select the new HuggingFace DLCs: text-generation now defaults to vLLM (replacing archived TGI), multimodal tasks route to vLLM-omni, and SGLang is reachable via explicit model_server. TEI/transformers routing is unchanged. Signed-off-by: DWarez <dario.salvati@huggingface.co>
by `image-text-to-text` Signed-off-by: DWarez <dario.salvati@huggingface.co>
Co-authored-by: Alvaro Bartolome <36760800+alvarobartt@users.noreply.github.com>
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Mattral
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Jun 19, 2026
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Really appreciate this refactor. Having text‑generation, multimodal, and opt‑in SGLang routing handled automatically should reduce confusion and help users get the right DLC without extra setup.
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Depends on #5957.
ModelBuilder's auto-detection will now select:huggingface-vllmfor text-generationhuggingface-vllm-omnifor multimodal taskshuggingface-sglangis opt-in on user sideteilogic unchanged