Instructions to use ujs/hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ujs/hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ujs/hindi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ujs/hindi") model = AutoModelForCTC.from_pretrained("ujs/hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 694806a4b314d9cd04d8c4ae6c186bfe8700f12727d4840f0005919d20bb56cd
- Size of remote file:
- 1.26 GB
- SHA256:
- d3db64cdfcd895abfb70834ccc41bd4ad1f38df5df6a1c3713cb1f6596c0070a
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