🎙️ Speech Recognition

whisperkit-coreml

argmaxinc/whisperkit-coreml

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11.7M
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whisperkit
Library
Model Details
Full Model IDargmaxinc/whisperkit-coreml
Pipeline / Taskautomatic-speech-recognition
Librarywhisperkit
Downloads (all-time)11.7M
Likes258
Last Modified8/19/2026
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-recognitionlicense:mitregion: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
⬇ Downloads11.7M
❤️ Community Likes258
🛠️ 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?