Instructions to use apoth/bird_sounds_classification_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apoth/bird_sounds_classification_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="apoth/bird_sounds_classification_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("apoth/bird_sounds_classification_2") model = AutoModelForAudioClassification.from_pretrained("apoth/bird_sounds_classification_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apoth/bird_sounds_classification_2: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/apoth/bird_sounds_classification_2/resolve/main/training_args.bin
- Command line
-
hf download hf://apoth/bird_sounds_classification_2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/apoth/bird_sounds_classification_2/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 83e582e125b2e08e06e3b25c6688bbc30c982e7500c1ecd33d431ca3ceb3fcf6
- Size of remote file:
- 3.57 kB
- SHA256:
- 3d9a1c8e5a297a089174cb2f4de7ca498d4e668761ff83dac049d098125833bd
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