Instructions to use chrisjay/afrospeech-wav2vec-sna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/afrospeech-wav2vec-sna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="chrisjay/afrospeech-wav2vec-sna")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("chrisjay/afrospeech-wav2vec-sna") model = AutoModelForAudioClassification.from_pretrained("chrisjay/afrospeech-wav2vec-sna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download afrospeech-wav2vec-sna_confusion_matrix_VALID.png from chrisjay/afrospeech-wav2vec-sna: direct link, hf CLI and curl.
- Browser
- Download file 27.6 kB
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https://huggingface.co/chrisjay/afrospeech-wav2vec-sna/resolve/main/afrospeech-wav2vec-sna_confusion_matrix_VALID.png
- Command line
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hf download hf://chrisjay/afrospeech-wav2vec-sna/afrospeech-wav2vec-sna_confusion_matrix_VALID.png
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curl -L -o afrospeech-wav2vec-sna_confusion_matrix_VALID.png https://huggingface.co/chrisjay/afrospeech-wav2vec-sna/resolve/main/afrospeech-wav2vec-sna_confusion_matrix_VALID.png
27.6 kB
