Instructions to use skpawar1305/wav2vec2-base-finetuned-digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skpawar1305/wav2vec2-base-finetuned-digits with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="skpawar1305/wav2vec2-base-finetuned-digits")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("skpawar1305/wav2vec2-base-finetuned-digits") model = AutoModelForAudioClassification.from_pretrained("skpawar1305/wav2vec2-base-finetuned-digits") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82798697b87cc03fefa4d6772b1d03f6e89936eefde1129b8562efc374d345db
- Size of remote file:
- 3.31 kB
- SHA256:
- bf34b947d794d0e703c7395e17b56c7f64a4ba9dcb582c17c190573928e56f85
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