Instructions to use Adeptschneider/wav2vec-lora-swahili-asr-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adeptschneider/wav2vec-lora-swahili-asr-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Adeptschneider/wav2vec-lora-swahili-asr-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Adeptschneider/wav2vec-lora-swahili-asr-model") model = AutoModelForCTC.from_pretrained("Adeptschneider/wav2vec-lora-swahili-asr-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, step 400
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