Instructions to use Gizachew/whisper-tiny-am with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gizachew/whisper-tiny-am with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gizachew/whisper-tiny-am")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Gizachew/whisper-tiny-am") model = AutoModelForSpeechSeq2Seq.from_pretrained("Gizachew/whisper-tiny-am") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
model.safetensors
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runs/May01_07-22-39_eeb16fec2c94/events.out.tfevents.1714548170.eeb16fec2c94.410.3
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