How to use ppicazo/autotrain-ap-pass-fail-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ppicazo/autotrain-ap-pass-fail-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("ppicazo/autotrain-ap-pass-fail-v1") model = AutoModelForImageClassification.from_pretrained("ppicazo/autotrain-ap-pass-fail-v1")
loss: 0.5907868146896362
f1: 0.5454545454545454
precision: 0.46153846153846156
recall: 0.6666666666666666
auc: 0.7388888888888889
accuracy: 0.6551724137931034
Files info
Base model
