resnet18

62
license:mit
by
keejkrej
Image Model
OTHER
New
62 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Control validation (Pos140, no T-cells added)pythontransformers
from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image

processor = AutoImageProcessor.from_pretrained("keejkrej/resnet18")
model = AutoModelForImageClassification.from_pretrained("keejkrej/resnet18")

image = Image.open("crop.png").convert("RGB")
inputs = processor(image, return_tensors="pt")
outputs = model(**inputs)

predicted_class = outputs.logits.argmax(-1).item()
label = model.config.id2label[predicted_class]  # "present" or "absent"

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