How to use from the
Use from the
timm library
import timm

model = timm.create_model("hf_hub:wrice/perch-v2-efficientnet-b3", pretrained=True)

Model card for perch-v2-efficientnet-b3

Google Perch v2 bird vocalization classifier backbone converted from TF/JAX to PyTorch timm format. EfficientNet-B3 with 1536-dim embeddings, pretrained on 14,795 species from Xeno-Canto/iNaturalist.

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10.8M params
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F32
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