Instructions to use openai/whisper-large-v3-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large-v3-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3-turbo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large-v3-turbo") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3-turbo", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
How can I deploy this model whisper-large-v3-turbo on my EC2 CPU instance?
#37
by Rushikesh7766 - opened
How can I deploy this model whisper-large-v3-turbo on my EC2 CPU instance. I have r5.xlarge and it will work. I'm just concerned about how do I deploy it on ec2 and use that endpoint in my main code base