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 digits-bar-plot-for-afrospeech-wav2vec-sna.png from chrisjay/afrospeech-wav2vec-sna: direct link, hf CLI and curl.
- Browser
- Download file 19.1 kB
-
https://huggingface.co/chrisjay/afrospeech-wav2vec-sna/resolve/main/digits-bar-plot-for-afrospeech-wav2vec-sna.png
- Command line
-
hf download hf://chrisjay/afrospeech-wav2vec-sna/digits-bar-plot-for-afrospeech-wav2vec-sna.png
-
curl -L -o digits-bar-plot-for-afrospeech-wav2vec-sna.png https://huggingface.co/chrisjay/afrospeech-wav2vec-sna/resolve/main/digits-bar-plot-for-afrospeech-wav2vec-sna.png
19.1 kB
