Instructions to use marma/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marma/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marma/test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marma/test") model = AutoModelForCTC.from_pretrained("marma/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc316c2e0ee727150016f59a15edff5cbf9e9661e7f83859586de7597fc84c98
- Size of remote file:
- 1.26 GB
- SHA256:
- c67fec9a9f4e501acd5d731e3c7ad40ae6fd788500e9c8e0782c9e70ceb65d9d
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