Instructions to use charris/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charris/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charris/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("charris/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("charris/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
model.safetensors
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runs/Jan10_19-54-05_6f7ba48934b5/events.out.tfevents.1704916488.6f7ba48934b5.5632.0
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