Instructions to use VasilisAsim/ast-finetuned-TESS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VasilisAsim/ast-finetuned-TESS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="VasilisAsim/ast-finetuned-TESS")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("VasilisAsim/ast-finetuned-TESS") model = AutoModelForAudioClassification.from_pretrained("VasilisAsim/ast-finetuned-TESS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload ASTForAudioClassification
Browse files- config.json +1 -2
- model.safetensors +1 -1
config.json
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"time_stride": 10,
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"transformers_version": "5.18.0"
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"use_cache": false
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}
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"time_stride": 10,
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"transformers_version": "5.18.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 344805420
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cc998e0ec30984d65e2f2dd7ffb7bbc88753d402a2fab658ff47eca202fede6
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size 344805420
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