Instructions to use apoth/bird_sounds_classification_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apoth/bird_sounds_classification_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="apoth/bird_sounds_classification_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("apoth/bird_sounds_classification_4") model = AutoModelForAudioClassification.from_pretrained("apoth/bird_sounds_classification_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apoth/bird_sounds_classification_4: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/apoth/bird_sounds_classification_4/resolve/main/training_args.bin
- Command line
-
hf download hf://apoth/bird_sounds_classification_4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apoth/bird_sounds_classification_4/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 80b77370d27ba860d381252e5a8ca877934580d1b018a122c5f8c0d3e32ced06
- Size of remote file:
- 3.57 kB
- SHA256:
- cb1402345e303d705a42c63a731cce1dcd22080b87af08f11476848f856803aa
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