Instructions to use apoth/bird_sounds_classification_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apoth/bird_sounds_classification_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="apoth/bird_sounds_classification_3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("apoth/bird_sounds_classification_3") model = AutoModelForAudioClassification.from_pretrained("apoth/bird_sounds_classification_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apoth/bird_sounds_classification_3: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/apoth/bird_sounds_classification_3/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://apoth/bird_sounds_classification_3@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apoth/bird_sounds_classification_3/resolve/refs%2Fpr%2F1/training_args.bin
3.57 kB
- Xet hash:
- 8ab926a74cb066a570377eb3162d0634b292d1d238fdbf817e04e7909804995e
- Size of remote file:
- 3.57 kB
- SHA256:
- da52cdf02bd2e1da94f05f947cbf46a3f21cf34898869371b250d70501ff3ba3
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