Instructions to use AstralZander/igbo_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AstralZander/igbo_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AstralZander/igbo_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AstralZander/igbo_ASR") model = AutoModelForCTC.from_pretrained("AstralZander/igbo_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Update README.md
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README.md
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- google/fleurs
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language:
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- ig
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- google/fleurs
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language:
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- ig
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facebook/wav2vec2-xls-r-300m fine-tuned on google/fleurs and mozilla-foundation/common_voice_13_0 for Igbo language.
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WER: 0.51
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