Instructions to use apoth/bird_sounds_classification_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apoth/bird_sounds_classification_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="apoth/bird_sounds_classification_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("apoth/bird_sounds_classification_1") model = AutoModelForAudioClassification.from_pretrained("apoth/bird_sounds_classification_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apoth/bird_sounds_classification_1: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/apoth/bird_sounds_classification_1/resolve/main/training_args.bin
- Command line
-
hf download hf://apoth/bird_sounds_classification_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apoth/bird_sounds_classification_1/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- fcdbf762d6b322409bb89ad9c6412f369bb4529d202258ab6bddc88e7b4ed88e
- Size of remote file:
- 3.57 kB
- SHA256:
- 3553345f855869ec43adaa5ebdcb1ce1c24e0d51eab46be043ea27395b130937
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