Image Classification
Transformers
PyTorch
Safetensors
Trained with AutoTrain
vision
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="miittnnss/idk")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("miittnnss/idk", dtype="auto")
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Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 2169069849
  • CO2 Emissions (in grams): 1.7851

Validation Metrics

  • Loss: 0.026
  • Accuracy: 1.000
  • Precision: 1.000
  • Recall: 1.000
  • AUC: 1.000
  • F1: 1.000
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15
Safetensors
Model size
86.2M params
Tensor type
I64
·
F32
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