WhisperKit Hinglish (CoreML)
CoreML models converted from Oriserve/Whisper-Hindi2Hinglish-Apex for use with WhisperKit on Apple devices.
Model Details
| Property | Value |
|---|---|
| Base Model | whisper-large-v3-turbo |
| Parameters | 0.8B |
| Input | Hindi/Hinglish audio |
| Output | Romanized Hinglish text (Latin script) |
| License | Apache 2.0 |
What This Model Does
Transcribes Hindi and Hinglish speech directly to romanized Latin text — no transliteration needed.
Example output: "yaar mai kal office nahi jaunga" (not "यार मैं कल ऑफिस नहीं जाऊँगा")
Usage with WhisperKit (Swift)
import WhisperKit
let config = WhisperKitConfig(
model: "Oriserve_Whisper-Hindi2Hinglish-Apex",
modelRepo: "shrimalmadhur/whisperkit-hinglish"
)
let whisperKit = try await WhisperKit(config)
let result = try await whisperKit.transcribe(audioPath: "audio.wav")
print(result.text)
Important: Use language: "en" in decoding options — the model internally maps Hindi speech to English/Latin tokens.
Contents
Oriserve_Whisper-Hindi2Hinglish-Apex/AudioEncoder.mlmodelcOriserve_Whisper-Hindi2Hinglish-Apex/TextDecoder.mlmodelcOriserve_Whisper-Hindi2Hinglish-Apex/MelSpectrogram.mlmodelcOriserve_Whisper-Hindi2Hinglish-Apex/config.jsonOriserve_Whisper-Hindi2Hinglish-Apex/generation_config.json
Credits
- Source model: Oriserve/Whisper-Hindi2Hinglish-Apex by OriserveAI
- Conversion tools: whisperkittools by Argmax
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Model tree for shrimalmadhur/whisperkit-hinglish
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo Finetuned
Oriserve/Whisper-Hindi2Hinglish-Apex