Instructions to use Evan-Lin/ast-esc50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan-Lin/ast-esc50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Evan-Lin/ast-esc50")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Evan-Lin/ast-esc50") model = AutoModelForAudioClassification.from_pretrained("Evan-Lin/ast-esc50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0107fc9913baa2cb7d94150118138c07c590cae3fb373dda44f590ee38993d0c
- Size of remote file:
- 345 MB
- SHA256:
- ae8cc6d4ae021dfa505d3b0ec8f43814b92ebfb78599eb4d47b908c6bed03e7a
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