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TeraflopAI
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compression-detection-b1-256

Image Classification
timm
PyTorch
Safetensors
Transformers
vit
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Gated model: Login with a HF token with gated access permission
hf auth login
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="TeraflopAI/compression-detection-b1-256")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoImageProcessor, timm/efficientvit_b1.r256_in1k

processor = AutoImageProcessor.from_pretrained("TeraflopAI/compression-detection-b1-256")
model = timm/efficientvit_b1.r256_in1k.from_pretrained("TeraflopAI/compression-detection-b1-256")
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Model card for compression-detection-256

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Safetensors
Model size
7.52M params
Tensor type
F32
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