Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Instructions to use saadashraf/ast_bird_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadashraf/ast_bird_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="saadashraf/ast_bird_model2")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("saadashraf/ast_bird_model2") model = AutoModelForAudioClassification.from_pretrained("saadashraf/ast_bird_model2") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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- generated_from_trainer
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datasets:
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- audio_dataset
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model-index:
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- name: ast_bird_model2
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results: []
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- generated_from_trainer
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datasets:
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- audio_dataset
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base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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model-index:
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- name: ast_bird_model2
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results: []
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