Whisper large-v3
Sovranità u hosting
Mhux ospitat fuq LLM EU fuq dan id-deployment: it-talbiet jiġu mwieġba mill-backend mock integrat fir-reġjun dev-mock. L-ebda weights m'jaħdmu.
Sommarju
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.
Speċifikazzjonijiet
- Fornitur
- OpenAI (US)
- Tieqa tal-kuntest
- Mhux verifikat: il-fornitur ma dokumentax din id-dikjarazzjoni.
- Parametri
- 1.54B
- Modalitajiet
- audio
- Liċenza
- apache-2.0 · licence
- Piżijiet miftuħa
- yes
- Data tal-ħruġ
- 07 Nov 2023
- Kompiti
- translation, multilingual-support, summarization
Lingwi
Qawwi: en, de, fr, es, it, pt, nl, pl
Adekwat: sv, da, fi, cs, ro, el, uk, ru, tr, ar, zh, ja, ko, hi
Lingwi
Qawwi
- en
- de
- fr
- es
- it
- pt
- nl
- pl
Adekwat
- sv
- da
- fi
- cs
- ro
- el
- uk
- ru
- tr
- ar
- zh
- ja
- ko
- hi
Mhux verifikat: il-fornitur ma dokumentax din id-dikjarazzjoni. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Meta tużaha
Saħħiet
- one model for transcription and translation to English
- long-standing tooling support across every major inference stack
- Apache-2.0 licence
Limiti
- 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