Model Details
Full Model IDopenai/whisper-large-v3-turbo
Pipeline / Taskautomatic-speech-recognition
Librarytransformers
Downloads (all-time)8.1M
Likes3.0K
Last Modified10/4/2024
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-turbo")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerssafetensorswhisperautomatic-speech-recognitionaudioenzhdeesrukofrjapttrplcanlarsvitidhifiviheukelmscs
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
⬇ Downloads8.1M
����� Community Likes3.0K
🛠�� 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.