Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results
Instructions to use openai/whisper-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3") - Inference
- Notebooks
- Google Colab
- Kaggle
vllm real-time support
#231
by jxadro - opened
Hi.
Is it planned to enable whisper for vllm real time?
https://docs.vllm.ai/en/latest/models/supported_models/#realtime-transcription
Currently for speech to text it is supported:
-mistralai/Voxtral-Mini-4B-Realtime-2602
-Qwen/Qwen3-ASR-0.6B
Thank you.