Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results
Instructions to use openai/whisper-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v2") - Notebooks
- Google Colab
- Kaggle
"No speech was detected"
#1
by drnic - opened
I'm replaying audio into whisper-large-v2 but getting "No speech was detected" in the web "Compute" inference UI; and no text output from the hosted interference API.
Anyone else seeing something better?
Same
Okay, sorry for that, will have a look
Should be fixed!
Just tested the code from the example and worked like a charm!
ArthurZ changed discussion status to closed