Instructions to use VasilisAsim/data2vec-finetuned-TESS_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VasilisAsim/data2vec-finetuned-TESS_full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="VasilisAsim/data2vec-finetuned-TESS_full")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForAudioClassification tokenizer = AutoTokenizer.from_pretrained("VasilisAsim/data2vec-finetuned-TESS_full") model = AutoModelForAudioClassification.from_pretrained("VasilisAsim/data2vec-finetuned-TESS_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Restore correct data2vec checkpoint (revert accidental Whisper upload)
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Upload feature extractor
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Upload WhisperForAudioClassification
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Upload feature extractor
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Upload Data2VecAudioForSequenceClassification
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initial commit
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