Instructions to use WassayS/whisper-tiny-ur-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WassayS/whisper-tiny-ur-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="WassayS/whisper-tiny-ur-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("WassayS/whisper-tiny-ur-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("WassayS/whisper-tiny-ur-v2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/Dec31_22-15-29_75dc23b33647/events.out.tfevents.1704060930.75dc23b33647.1288.1
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