🎙�� Speech Recognition

faster-whisper-tiny.en

Systran/faster-whisper-tiny.en

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10
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ctranslate2
Library
Model Details
Full Model IDSystran/faster-whisper-tiny.en
Pipeline / Taskautomatic-speech-recognition
Libraryctranslate2
Downloads (all-time)1.2M
Likes10
Last Modified11/23/2023
Author / OrgSystran
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="Systran/faster-whisper-tiny.en")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
ctranslate2audioautomatic-speech-recognitionenlicense: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
Downloads1.2M
����� Community Likes10
🛠�� Requirements
  • Install: pip install ctranslate2
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?