Instructions to use dmusingu/XLS-R-LUGANDA-ASR-CV14-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmusingu/XLS-R-LUGANDA-ASR-CV14-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dmusingu/XLS-R-LUGANDA-ASR-CV14-1B")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("dmusingu/XLS-R-LUGANDA-ASR-CV14-1B") model = AutoModelForCTC.from_pretrained("dmusingu/XLS-R-LUGANDA-ASR-CV14-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae25a0fa366002f8d65b2e1f2978a61bfe6c5f6ac57cf5d26ab3f97bd1804c9
- Size of remote file:
- 4.98 kB
- SHA256:
- f1ec5429720e06f5fe76dab276ba49982a79ba4f64ce4eacc3b808b179166e10
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