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
can i use this model "openai/whisper-large-v2" offline and for commercial purpose ?
#51
by RavirajDarisi - opened
I want to use this openai/whisper-large-v2 model for my app's backend and want to use this for commercial purposes. is that allowed?
License file from original repo
https://github.com/openai/whisper/blob/main/LICENSE
short answer - yes.
Thank you for the quick reply.
ArthurZ changed discussion status to closed