Instructions to use aaditya/Whisper_1242e6c8-322d-4ec4-8ca2-c4e921eefc4a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaditya/Whisper_1242e6c8-322d-4ec4-8ca2-c4e921eefc4a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aaditya/Whisper_1242e6c8-322d-4ec4-8ca2-c4e921eefc4a")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aaditya/Whisper_1242e6c8-322d-4ec4-8ca2-c4e921eefc4a") model = AutoModelForSpeechSeq2Seq.from_pretrained("aaditya/Whisper_1242e6c8-322d-4ec4-8ca2-c4e921eefc4a") - Notebooks
- Google Colab
- Kaggle