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="frncscp/patacoswin_v1")
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("frncscp/patacoswin_v1")
model = AutoModelForImageClassification.from_pretrained("frncscp/patacoswin_v1", device_map="auto")
Quick Links

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 34284130630
  • CO2 Emissions (in grams): 0.4145

Validation Metrics

  • Loss: 0.070
  • Accuracy: 0.989
  • Precision: 0.978
  • Recall: 1.000
  • AUC: 0.998
  • F1: 0.989
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