Instructions to use Priyanship/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyanship/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Priyanship/output")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Priyanship/output") model = AutoModelForCTC.from_pretrained("Priyanship/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b8a337fde28de77fdf01de4979251ade2e41d81a47cf37d1e589d3d9c13fa1e
- Size of remote file:
- 5.43 kB
- SHA256:
- d06bc0159854a776f6fe0a037a31ee779f41b486f41cc3911a574757ac5647f8
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