🎙️ Speech Recognition

whisper-large-v3

openai/whisper-large-v3

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4.8M
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transformers
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Model Details
Full Model IDopenai/whisper-large-v3
Pipeline / Taskautomatic-speech-recognition
Librarytransformers
Downloads (all-time)4.8M
Likes5.6K
Last Modified8/12/2024
Author / Orgopenai
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="openai/whisper-large-v3")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerspytorchjaxsafetensorswhisperautomatic-speech-recognitionaudiohf-asr-leaderboardenzhdeesrukofrjapttrplcanlarsvitidhifiviheuk
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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
Downloads4.8M
❤️ Community Likes5.6K
🛠️ 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.
👋 Need help with code?