Instructions to use Ar4ikov/W2VFSC3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ar4ikov/W2VFSC3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Ar4ikov/W2VFSC3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Ar4ikov/W2VFSC3") model = AutoModelForAudioClassification.from_pretrained("Ar4ikov/W2VFSC3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create special_tokens_map.json
42ee87c -
Create vocab.json
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Create tokenizer_config.json
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Update config.json
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Create preprocessor_config.json
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Upload Wav2Vec2Classification
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Upload Wav2Vec2Classification
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initial commit
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