Instructions to use DBD-research-group/AudioProtoPNet-1-BirdSet-XCL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DBD-research-group/AudioProtoPNet-1-BirdSet-XCL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="DBD-research-group/AudioProtoPNet-1-BirdSet-XCL", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("DBD-research-group/AudioProtoPNet-1-BirdSet-XCL", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Uploading adjusted checkpoint for AudioProtoPNet-1
Browse files
adjusted_AudioProtoPNet-1.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:75784b73e94b523306234b7763625bd3a3237a9239d98ef586bdb5016dd4eaec
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size 390329034
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