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:
- ee2419e7d709743d8224e4164fff9b38c2689e99d12d2644180f4892f20e4c5b
- Size of remote file:
- 378 MB
- SHA256:
- a6d0e4d999c174a615df9e439c3240d708a635333bf5d51b6a57514ff7655c73
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