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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19dbb549599d73deb93e8bf9432e18a42a298af4553df60fe3e22271f4f9bfd7
- Size of remote file:
- 4.66 kB
- SHA256:
- e1a8bd38b90cd90ca4aebc0f6b64e1d65c91c4d1469dac2cf4207eb5ac67366b
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