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whisperx backend.whisperx-tiny-it-multi.yaml in your LocalAI models directory:1name: whisperx-tiny-it-multi
2backend: whisperx
3known_usecases:
4 - transcript
5parameters:
6 model: LocalAI-io/whisper-tiny-it-multi-ct2-int8
7 language: it1curl http://localhost:8080/v1/audio/transcriptions \
2 -H "Content-Type: multipart/form-data" \
3 -F file="@audio.mp3" \
4 -F model="whisperx-tiny-it-multi"1from faster_whisper import WhisperModel
2
3model = WhisperModel("LocalAI-io/whisper-tiny-it-multi-ct2-int8", device="cpu", compute_type="int8")
4segments, info = model.transcribe("audio.mp3", language="it")
5for segment in segments:
6 print(f"[{segment.start:.1f}s - {segment.end:.1f}s] {segment.text}")1import whisperx
2
3model = whisperx.load_model("LocalAI-io/whisper-tiny-it-multi-ct2-int8", device="cpu", compute_type="int8")
4result = model.transcribe("audio.mp3", language="it")