Instructions to use krishnareddy/asr_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishnareddy/asr_example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="krishnareddy/asr_example")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("krishnareddy/asr_example") model = AutoModelForCTC.from_pretrained("krishnareddy/asr_example") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f74193f6e1386756faa612d026e380d844877056f64d0ef454a611ff240d3b9d
- Size of remote file:
- 378 MB
- SHA256:
- 7d273988d585667648e15f67f064900e81037730209dfb6886ee403a2aecdecd
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