Instructions to use marifulhaque/ast_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marifulhaque/ast_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="marifulhaque/ast_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("marifulhaque/ast_classifier") model = AutoModelForAudioClassification.from_pretrained("marifulhaque/ast_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marifulhaque/ast_classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/marifulhaque/ast_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://marifulhaque/ast_classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/marifulhaque/ast_classifier/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 7a022c329201f2159fe32ee7c30051d7ea669d5fe340084e608bfc3127927176
- Size of remote file:
- 5.84 kB
- SHA256:
- cd1f416d1d2ecec55b151b236e7d9f479117dc4f71aa938675002f6429a0b7fb
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