🎙�� Speech Recognition

whisperkit-coreml

argmaxinc/whisperkit-coreml

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whisperkit
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Model Details
Full Model IDargmaxinc/whisperkit-coreml
Pipeline / Taskautomatic-speech-recognition
Librarywhisperkit
Downloads (all-time)9.9M
Likes184
Last Modified4/24/2026
Author / Orgargmaxinc
PrivateNo � public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("automatic-speech-recognition", model="argmaxinc/whisperkit-coreml")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
whisperkitcoremlwhisperasrquantizedautomatic-speech-recognitionregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗�� Browse All Models
🎙�� Task: Speech Recognition

This model is designed for the Speech Recognition task. Explore more models for this use case.

All Speech Recognition Models →
📊 Popularity
Downloads9.9M
����� Community Likes184
🛠�� Requirements
  • Install: pip install whisperkit
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?