Instructions to use Cafet/whisper-tiny-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cafet/whisper-tiny-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cafet/whisper-tiny-final")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Cafet/whisper-tiny-final") model = AutoModelForSpeechSeq2Seq.from_pretrained("Cafet/whisper-tiny-final") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8000
Browse files
model.safetensors
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runs/May08_02-27-16_49425803323d/events.out.tfevents.1715135238.49425803323d.1220.0
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