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
whisper outputs non stop no no no
I am testing with pipeline, and getting sometime the results like "no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no" and like "chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel chanel" how can we handle this problem in pipeline?
You might want to change repetition penalty.
You might want to change repetition penalty.
How do you change that in pipeline?
You might want to change repetition penalty.
How do you change that in pipeline?
You can pass it inside the generate_kwargd dictionary.