Instructions to use Priyanship/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyanship/outputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Priyanship/outputs")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Priyanship/outputs") model = AutoModelForCTC.from_pretrained("Priyanship/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb4b1ac37be48914c9b48d48db10a546da273b625c5f89087cb9eb1ecfa79e92
- Size of remote file:
- 11.7 GB
- SHA256:
- b822a93caac85d36319a454cc5687ab1796d7100b98e3a7a0e545ea77c9bf9c0
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