Instructions to use codenamewei/speech-to-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codenamewei/speech-to-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="codenamewei/speech-to-text")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("codenamewei/speech-to-text") model = AutoModelForCTC.from_pretrained("codenamewei/speech-to-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85ac830a3aaa14848e70c2013f6dadb9aefc62c676f22ae7f169b6c6a02e6bdd
- Size of remote file:
- 2.37 GB
- SHA256:
- 580594ee9975f1c251b2470cd3d6e0193765b714cccdf25f97f6419bf6eef333
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