Instructions to use Ar4ikov/Wav2Vec2ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ar4ikov/Wav2Vec2ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Ar4ikov/Wav2Vec2ForSequenceClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Ar4ikov/Wav2Vec2ForSequenceClassification") model = AutoModelForAudioClassification.from_pretrained("Ar4ikov/Wav2Vec2ForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size":
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 1024,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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