How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="wrice/perch-v2-efficientnet-b3")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("wrice/perch-v2-efficientnet-b3", dtype="auto")
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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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