Instructions to use raidavid/whisper-tiny-20240501 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raidavid/whisper-tiny-20240501 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="raidavid/whisper-tiny-20240501")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("raidavid/whisper-tiny-20240501") model = AutoModelForSpeechSeq2Seq.from_pretrained("raidavid/whisper-tiny-20240501") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50
Browse files
model.safetensors
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runs/May02_07-43-27_328ac6a8b360/events.out.tfevents.1714635809.328ac6a8b360.8.0
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training_args.bin
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