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 checkpoint-52500/optimizer.pt from apoth/bird_sounds_classification_2: direct link, hf CLI and curl.
- Browser
- Download file 757 MB
-
https://huggingface.co/apoth/bird_sounds_classification_2/resolve/main/checkpoint-52500/optimizer.pt
- Command line
-
hf download hf://apoth/bird_sounds_classification_2/checkpoint-52500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/apoth/bird_sounds_classification_2/resolve/main/checkpoint-52500/optimizer.pt
757 MB
- Xet hash:
- 1ad7d235e5b9b4bee2d5871d292ff0240905fe56e07bb4243b7e3e409d94c8ee
- Size of remote file:
- 757 MB
- SHA256:
- ddd13c01c317b160d427e017a2488d7cd6b9053ddf89de6b1c2cae8a0ec0e4c1
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