Whisper large-v3
Soberanía y alojamiento
No alojado en LLM EU en este despliegue: las solicitudes las responde el backend mock integrado en la región dev-mock. No se ejecuta ningún peso.
Resumen
Whisper large-v3 is OpenAI’s multilingual speech-recognition and speech-translation model with 1.54B parameters under the Apache-2.0 licence. It has a fixed 30-second receptive field and processes longer audio with a sliding window, and it uses 128 mel frequency bins rather than the 80 of earlier versions. The model card warns that it was evaluated on roughly ten languages and should be evaluated in-domain before deployment.
Especificaciones
- Proveedor
- OpenAI (US)
- Ventana de contexto
- No verificado: el proveedor no ha documentado esta afirmación.
- Parámetros
- 1.54B
- Modalidades
- audio
- Licencia
- apache-2.0 · licence
- Pesos abiertos
- yes
- Fecha de lanzamiento
- 07 nov 2023
- Tareas
- translation, multilingual-support, summarization
Idiomas
Fuerte: en, de, fr, es, it, pt, nl, pl
Adecuado: sv, da, fi, cs, ro, el, uk, ru, tr, ar, zh, ja, ko, hi
Idiomas
Fuerte
- en
- de
- fr
- es
- it
- pt
- nl
- pl
Adecuado
- sv
- da
- fi
- cs
- ro
- el
- uk
- ru
- tr
- ar
- zh
- ja
- ko
- hi
No verificado: el proveedor no ha documentado esta afirmación. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Cuándo usarlo
Puntos fuertes
- one model for transcription and translation to English
- long-standing tooling support across every major inference stack
- Apache-2.0 licence
Límites
- fixed 30-second receptive field; longer audio needs chunking logic
- the card only claims strong recognition for about ten languages
- the card advises against using it for classification or speaker attributes