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X01D
/
6DRepNET-RepVGGA0

Image Classification
Transformers
Safetensors
English
model_hub_mixin
pytorch_model_hub_mixin
Eval Results (legacy)
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xet
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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="X01D/6DRepNET-RepVGGA0")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("X01D/6DRepNET-RepVGGA0", dtype="auto")
Quick Links

This model has been pushed to the Hub using the PytorchModelHubMixin integration: - Library:

  • Docs: A reduced version of 6DRepNet model using the backbone of RepVGG A0 backbone
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Dataset used to train X01D/6DRepNET-RepVGGA0

Evaluation results