Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Haitian
whisper
Generated from Trainer
Instructions to use jsbeaudry/whisper-medium-oswald with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsbeaudry/whisper-medium-oswald with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jsbeaudry/whisper-medium-oswald")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jsbeaudry/whisper-medium-oswald") model = AutoModelForSpeechSeq2Seq.from_pretrained("jsbeaudry/whisper-medium-oswald", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 666096e17ecd529debd5de56ebf2f8cdd6915e45ce4a6e4d3f5bdf163e1b6a6f
- Size of remote file:
- 5.37 kB
- SHA256:
- 2f52fb4257587a6c481fe8b9cf2d40c31386ea44815d782da906e98d73a0bc24
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