Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use dmusingu/XLS-R-SWAHILI-ASR-CV14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmusingu/XLS-R-SWAHILI-ASR-CV14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dmusingu/XLS-R-SWAHILI-ASR-CV14")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("dmusingu/XLS-R-SWAHILI-ASR-CV14") model = AutoModelForCTC.from_pretrained("dmusingu/XLS-R-SWAHILI-ASR-CV14") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8000
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
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