Instructions to use glenn2/whisper-small-b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glenn2/whisper-small-b4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="glenn2/whisper-small-b4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("glenn2/whisper-small-b4") model = AutoModelForSpeechSeq2Seq.from_pretrained("glenn2/whisper-small-b4") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7000
Browse files
model.safetensors
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runs/Apr16_05-49-21_75b86057b440/events.out.tfevents.1713246574.75b86057b440.239.1
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