Whisper large-v3
Suverenost i hosting
Nije hostano na LLM EU u ovom postavljanju: na zahtjeve odgovara ugrađeni mock backend u regiji dev-mock. Ne izvršavaju se nikakve težine.
Sažetak
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.
Specifikacije
- Pružatelj
- OpenAI (US)
- Kontekstni prozor
- Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju.
- Parametri
- 1.54B
- Modaliteti
- audio
- Licenca
- apache-2.0 · licence
- Otvoreni utezi
- yes
- Datum izlaska
- 07. stu 2023.
- Zadaci
- translation, multilingual-support, summarization
Jezici
Jako: en, de, fr, es, it, pt, nl, pl
Zadovoljavajuće: sv, da, fi, cs, ro, el, uk, ru, tr, ar, zh, ja, ko, hi
Jezici
Jako
- en
- de
- fr
- es
- it
- pt
- nl
- pl
Zadovoljavajuće
- sv
- da
- fi
- cs
- ro
- el
- uk
- ru
- tr
- ar
- zh
- ja
- ko
- hi
Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Kada ga koristiti
Prednosti
- one model for transcription and translation to English
- long-standing tooling support across every major inference stack
- Apache-2.0 licence
Ograničenja
- 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