File size: 6,628 Bytes
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"_about": "Read by the Transcriber app (Check for updates). models: as transcriber/catalog.json, used when revision is higher than the app's own. app: the latest version and its installer.",
"revision": 2,
"models": [
{
"id": "gpu-support",
"kind": "gpu",
"name": "GPU support (NVIDIA cuBLAS and cuDNN)",
"about": "Lets the speech models run on your NVIDIA graphics card, many times faster than on the processor. Shown only on computers with an NVIDIA card.",
"languages": "Any",
"license": "NVIDIA software licence",
"size_mb": 1373,
"download_mb": 1373,
"source": {
"pypi": true
}
},
{
"id": "large-v3",
"kind": "speech",
"name": "Best accuracy (Whisper large-v3)",
"about": "The most accurate general model. Best with an NVIDIA graphics card.",
"languages": "99 languages",
"license": "MIT",
"size_mb": 3091,
"cost": 1.0,
"vram_gb": 5,
"source": {
"repo": "Systran/faster-whisper-large-v3"
}
},
{
"id": "large-v3-turbo",
"kind": "speech",
"name": "Fast and accurate (Whisper large-v3 turbo)",
"about": "Nearly as accurate as large-v3 and several times faster. A good choice without a powerful graphics card.",
"languages": "99 languages",
"license": "MIT",
"size_mb": 1622,
"cost": 0.3,
"vram_gb": 3,
"source": {
"repo": "mobiuslabsgmbh/faster-whisper-large-v3-turbo"
}
},
{
"id": "distil-large-v3",
"kind": "speech",
"name": "Fast, English only (Distil-Whisper large-v3)",
"about": "Close to large-v3 accuracy on English, much faster. English recordings only.",
"languages": "English",
"license": "MIT",
"size_mb": 1516,
"cost": 0.3,
"vram_gb": 3,
"source": {
"repo": "Systran/faster-distil-whisper-large-v3"
}
},
{
"id": "medium",
"kind": "speech",
"name": "Medium (Whisper medium)",
"about": "Smaller and faster than large, a little less accurate.",
"languages": "99 languages",
"license": "MIT",
"size_mb": 1531,
"cost": 0.5,
"vram_gb": 2.5,
"source": {
"repo": "Systran/faster-whisper-medium"
}
},
{
"id": "small",
"kind": "speech",
"name": "Small (Whisper small)",
"about": "Quick on any computer; fine for clear recordings, weaker on accents and noise.",
"languages": "99 languages",
"license": "MIT",
"size_mb": 486,
"cost": 0.2,
"vram_gb": 1,
"source": {
"repo": "Systran/faster-whisper-small"
}
},
{
"id": "base",
"kind": "speech",
"name": "Base (Whisper base)",
"about": "Very fast, rough drafts only.",
"languages": "99 languages",
"license": "MIT",
"size_mb": 148,
"cost": 0.08,
"vram_gb": 0.5,
"source": {
"repo": "Systran/faster-whisper-base"
}
},
{
"id": "ivrit-large-v3-turbo",
"kind": "speech",
"name": "Hebrew, fast (ivrit.ai large-v3 turbo)",
"about": "Whisper trained further on Hebrew by ivrit.ai: much better Hebrew than the general models.",
"languages": "Hebrew (and English)",
"license": "Apache-2.0",
"size_mb": 1622,
"cost": 0.3,
"vram_gb": 3,
"source": {
"repo": "ivrit-ai/whisper-large-v3-turbo-ct2"
}
},
{
"id": "ivrit-large-v3",
"kind": "speech",
"name": "Hebrew, best (ivrit.ai large-v3)",
"about": "The most accurate Hebrew model from ivrit.ai. Best with an NVIDIA graphics card.",
"languages": "Hebrew (and English)",
"license": "Apache-2.0",
"size_mb": 3091,
"cost": 1.0,
"vram_gb": 5,
"source": {
"repo": "ivrit-ai/whisper-large-v3-ct2"
}
},
{
"id": "ecapa",
"kind": "voice",
"name": "Speaker recognition (SpeechBrain ECAPA, ONNX)",
"about": "Tells the voices apart. Needed for every transcription.",
"languages": "Any",
"license": "Apache-2.0",
"size_mb": 84,
"required": true,
"files": [
"ecapa-any-length.onnx"
],
"source": {
"repo": "kenrunio/transcriber-speaker-onnx"
},
"sha256": {
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}
},
{
"id": "punctuation",
"kind": "punctuation",
"name": "Punctuation repair (fullstop multilang large, ONNX, 8-bit)",
"about": "Adds full stops and commas where Whisper leaves run-on text. Optional; English, German, French and Italian.",
"languages": "English, German, French, Italian",
"license": "MIT",
"size_mb": 581,
"files": [
"model_int8.onnx",
"tokenizer.json",
"labels.json"
],
"older": [
"model.onnx",
"model.onnx.data",
"tokenizer.json",
"labels.json"
],
"update_about": "A smaller version: 0.6 GB instead of 2.2 GB, a third faster, and the same punctuation on 99 words in 100. The old one is removed once it is in.",
"source": {
"repo": "kenrunio/transcriber-punctuation-onnx"
},
"sha256": {
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"labels.json": "a19c8dc4400604b04a4da3cc356d7c5709110a0ce6770bd0c067697db88fd5a7"
}
},
{
"id": "sounds",
"kind": "sounds",
"name": "Sound recognition (Audio Spectrogram Transformer, ONNX)",
"about": "For clean-up: tells coughs, throat clearing and sneezes from speech and other sounds. Optional.",
"languages": "Any",
"license": "BSD-3-Clause",
"size_mb": 91,
"files": [
"onnx/model_int8.onnx",
"config.json"
],
"source": {
"repo": "onnx-community/ast-finetuned-audioset-10-10-0.4593-ONNX",
"revision": "2fe67046c486b8b8bc90a7b469239b2dec822f72"
},
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},
{
"id": "align",
"kind": "align",
"name": "Word timing (wav2vec2 base, ONNX)",
"about": "For clean-up: finds exactly where each word is, so ums are cut without touching the words beside them. Optional.",
"languages": "English",
"license": "Apache-2.0",
"size_mb": 378,
"files": [
"onnx/model.onnx",
"vocab.json",
"config.json"
],
"source": {
"repo": "onnx-community/wav2vec2-base-960h-ONNX",
"revision": "729c1a6730fb549c20a1c73a3d3f96f11020225e"
},
"sha256": {
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"config.json": "15c7cf6378153bdcb33fce27780ab9aae37fd154fbb674cacc3347992055d323"
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}
]
}
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