CoolFace
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intent-router

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Models

All models matching “intent-router”
llm-semantic-router /mmbert32k-intent-classifier-mergedtext-classificationen1 likes20k downloads7mo agoHugging Facellm-semantic-router /lora_intent_classifier_bert-base-uncased_modeltext-classificationcandleen1 likes1k downloads11mo agoHugging Facellm-semantic-router /mmbert-intent-classifier-loratext-classificationpeften0 likes324 downloads9mo agoHugging Facegunandrose4u /qwen35-4b-intent-router-loratext-generationpeft0 likes72 downloads4mo agoHugging Facellm-semantic-router /lora_intent_classifier_roberta-base_modeltext-classificationcandleen0 likes61 downloads11mo agoHugging Facesnival /intent-router-zh-setfit-v2text-classificationsetfitzh3 likes60 downloads26d agoHugging Facellm-semantic-router /lora_intent_classifier_modernbert-base_modeltext-classificationcandleen1 likes51 downloads11mo agoHugging Facellm-semantic-router /mmbert32k-intent-classifier-loratext-classificationpeften1 likes51 downloads8mo agoHugging Face

Datasets

All datasets matching “intent-router”
Harry-1234 /IntentRouterTrain MODF-SIR: a Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning MODF-SIR is a lightweight MLLM-based, distillation-augmented, multi-agent collaborative framework for social intelligence reasoning. 🔖 Model Details Model type: Omni-modal Large Language Model License: BSD-3-Clause Project Page: Arxiv: https://arxiv.org/abs/2606.12018 Code Repository: GitHub: https://github.com/eeee-sys/MODF-SIR 👀 MODF-SIR… See the full description on the dataset page: https://huggingface.co/datasets/Harry-1234/IntentRouterTrain.texttext-generationn<1K0 likes70 downloads4mo agoHugging Faceatekrugis /router-intent-classifier-50ktext10K<n<100K0 likes12 downloads6mo agoHugging Facenaranor /WAMP-Router-Intent-Dataset WAMP Router Intent Dataset This dataset was created for training the WAMP-proxy semantic router. It contains user queries in Russian and English across various domains (Technical, Medicine, Art, Philosophy, etc.) classified into three intent categories. Dataset Structure The dataset consists of two columns: text: The user query string. label: The integer class ID. label_text: Human-readable class name. Labels 0 (Summary): General requests for recaps, TL;DR… See the full description on the dataset page: https://huggingface.co/datasets/naranor/WAMP-Router-Intent-Dataset.texttext-classificationn<1K0 likes12 downloads5mo agoHugging FaceArchibaldAI /agent-intent-routertextn<1K0 likes11 downloads7mo agoHugging Facevotruongx /intent_router viet-robot-voice-commands-log A synthetic log of simple voice commands given to a home robot/assistant. Columns: id: row id timestamp_local: local time string text_vi: Vietnamese utterance text_en: rough English translation detected_intent: clean_room, go_dock, play_music, answer_question, small_talk, other target_room: optional target room if applicable note_en: short English note Manually authored for demos and testing. License MIT 0 likes2 downloads9mo agoHugging Face

Apps

All apps matching “intent-router”
tomabrad /qwen3-0.6b-intent_routerdocker0 likes1y agoHugging Facenextgenabhi /Speech-to-Intent-Router0 likes1y agoHugging Facenextgenabhi /Speech-to-Text-Intent-Routergradio0 likes1y agoHugging Facealiokaccound /intent-router-spacegradio0 likes1y agoHugging Faceninditya /banking-intent-routerdocker0 likes2mo agoHugging Face