Instructions to use Lachin/bird_sounds_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lachin/bird_sounds_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Lachin/bird_sounds_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Lachin/bird_sounds_classification") model = AutoModelForAudioClassification.from_pretrained("Lachin/bird_sounds_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Lachin/bird_sounds_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Lachin/bird_sounds_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://Lachin/bird_sounds_classification/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Lachin/bird_sounds_classification/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 823344081f77134d93e87047365076023cdc48587e1a52f470a1ef7f3cbe52a9
- Size of remote file:
- 5.05 kB
- SHA256:
- 3287fc02df059666254b99f7022cb332fc1d23ba9a0e98c21a7b78bde52b27a8
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