Model Details
Full Model IDmlx-community/parakeet-tdt-0.6b-v2
Pipeline / Taskautomatic-speech-recognition
Librarymlx
Downloads (all-time)2.1M
Likes47
Last Modified5/10/2025
Author / Orgmlx-community
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="mlx-community/parakeet-tdt-0.6b-v2")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
mlxsafetensorsautomatic-speech-recognitionspeechaudioFastConformerConformerParakeetbase_model:nvidia/parakeet-tdt-0.6b-v2base_model:finetune:nvidia/parakeet-tdt-0.6b-v2license:cc-by-4.0region:us
More Speech Recognition Models
See all →🚀 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
⬇ Downloads2.1M
❤️ Community Likes47
🛠️ Requirements
- →Install: pip install mlx
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.