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Models Native audio classification
Mike edited this page May 28, 2026
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1 revision
Режим: Native. Категория: Audio classification / классификация аудио.
Всего моделей: 3.
| Поле | Значение |
|---|---|
| Название | Xenova/ast-finetuned-audioset-10-10-0.4593 |
| Label | ast finetuned audioset 10 10 0.4593 |
| Категория | Audio classification / классификация аудио |
| Runtime/backend | native / onnxruntime / onnx |
| Вес | 0.18 GB catalog size, ~180 MB disk/cache |
| Параметры | не указаны |
| Минимальные требования | tiny - очень слабое железо, CPU/WASM или небольшой GPU; disk >= 180 MB; memory/VRAM около 256 MB; CPU или доступный ONNX provider |
| Оптимальные требования | cuda, directml, coreml, cpu; желательно 768 MB+ свободной VRAM/RAM и 692 MB+ disk cache |
| HF link | Xenova/ast-finetuned-audioset-10-10-0.4593 |
| Доступные quantizations | auto |
| Краткое описание | known browser-ready provider |
| Best in | audio-classification |
| Поле | Значение |
|---|---|
| Название | Xenova/clap-htsat-unfused |
| Label | clap htsat unfused |
| Категория | Audio classification / классификация аудио |
| Runtime/backend | native / onnxruntime / onnx |
| Вес | 0.18 GB catalog size, ~180 MB disk/cache |
| Параметры | не указаны |
| Минимальные требования | tiny - очень слабое железо, CPU/WASM или небольшой GPU; disk >= 180 MB; memory/VRAM около 256 MB; CPU или доступный ONNX provider |
| Оптимальные требования | cuda, directml, coreml, cpu; желательно 768 MB+ свободной VRAM/RAM и 692 MB+ disk cache |
| HF link | Xenova/clap-htsat-unfused |
| Доступные quantizations | auto |
| Краткое описание | known browser-ready provider |
| Best in | audio-classification |
| Поле | Значение |
|---|---|
| Название | Xenova/wav2vec2-large-xlsr-53-gender-recognition-librispeech |
| Label | wav2vec2 large xlsr 53 gender recognition librispeech |
| Категория | Audio classification / классификация аудио |
| Runtime/backend | native / onnxruntime / onnx |
| Вес | 0.18 GB catalog size, ~180 MB disk/cache |
| Параметры | не указаны |
| Минимальные требования | tiny - очень слабое железо, CPU/WASM или небольшой GPU; disk >= 180 MB; memory/VRAM около 256 MB; CPU или доступный ONNX provider |
| Оптимальные требования | cuda, directml, coreml, cpu; желательно 768 MB+ свободной VRAM/RAM и 692 MB+ disk cache |
| HF link | Xenova/wav2vec2-large-xlsr-53-gender-recognition-librispeech |
| Доступные quantizations | auto |
| Краткое описание | known browser-ready provider |
| Best in | audio-classification |
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