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as-cle-bert
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bcus-class-segformer

Image Classification
Transformers
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Safetensors
segformer
Trained with AutoTrain
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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="as-cle-bert/bcus-class-segformer")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification

processor = AutoImageProcessor.from_pretrained("as-cle-bert/bcus-class-segformer")
model = AutoModelForImageClassification.from_pretrained("as-cle-bert/bcus-class-segformer")
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Model Trained Using AutoTrain

  • Problem type: Image Classification

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3
Safetensors
Model size
24.2M params
Tensor type
F32
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Dataset used to train as-cle-bert/bcus-class-segformer