Whisper large-v3
Suveranitate și găzduire
Nu este găzduit pe LLM EU în această implementare: cererile primesc răspuns de la backend-ul mock integrat în regiunea dev-mock. Nu rulează ponderi.
Rezumat
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.
Specificații
- Furnizor
- OpenAI (US)
- Fereastră de context
- Neverificat: furnizorul nu a documentat această afirmație.
- Parametri
- 1.54B
- Modalități
- audio
- Licență
- apache-2.0 · licence
- Greutăți deschise
- yes
- Data lansării
- 07 nov. 2023
- Sarcini
- translation, multilingual-support, summarization
Limbi
Puternic: en, de, fr, es, it, pt, nl, pl
Adecvat: sv, da, fi, cs, ro, el, uk, ru, tr, ar, zh, ja, ko, hi
Limbi
Puternic
- en
- de
- fr
- es
- it
- pt
- nl
- pl
Adecvat
- sv
- da
- fi
- cs
- ro
- el
- uk
- ru
- tr
- ar
- zh
- ja
- ko
- hi
Neverificat: furnizorul nu a documentat această afirmație. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Când să îl folosești
Puncte forte
- one model for transcription and translation to English
- long-standing tooling support across every major inference stack
- Apache-2.0 licence
Limitări
- 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