Automatic Speech Recognition
Transformers
PyTorch
JAX
Fon
wav2vec2
audio
speech
xlsr-fine-tuning-week
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use chrisjay/fonxlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/fonxlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chrisjay/fonxlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chrisjay/fonxlsr") model = AutoModelForCTC.from_pretrained("chrisjay/fonxlsr") - Notebooks
- Google Colab
- Kaggle
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metrics:
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# Wav2Vec2-Large-XLSR-53-Fon
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metrics:
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type: wer
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# Wav2Vec2-Large-XLSR-53-Fon
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