Model Details
Full Model IDdistil-whisper/distil-large-v3
Pipeline / Taskautomatic-speech-recognition
Librarytransformers
Downloads (all-time)1.3M
Likes376
Last Modified4/21/2026
Author / Orgdistil-whisper
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="distil-whisper/distil-large-v3")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformersjaxtensorboardonnxsafetensorswhisperautomatic-speech-recognitionaudiotransformers.jsenarxiv:2311.00430arxiv:2210.13352license:miteval-resultsendpoints_compatibleregion:us
More Speech Recognition Models
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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
⬇ Downloads1.3M
❤️ Community Likes376
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.