Instructions to use akrishnan/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akrishnan/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="akrishnan/test_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("akrishnan/test_model") model = AutoModelForCTC.from_pretrained("akrishnan/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82bf023cd8a08866b04d3f86b8edf6a9662f97a95926bdfec53a0b0ff3d31e8c
- Size of remote file:
- 378 MB
- SHA256:
- 6070944a36ec4e382d81859b6685a11b8ab021dc88ece85f0fa1cee75cbd95c9
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