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siglip-ecva-main
happy8825/siglip-ecva-main
siglip-ecva-main is a machine learning model from happy8825. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Model type
- siglip
- Access
- Public
- Created
- Dec 16, 2025
- Updated
- Dec 16, 2025
- SHA
- 95529ab7
Model card
From the Hugging Face model README
SigLIP Classification Model - main
Pushed: 2025-12-16T15:38:25.488860Z
Metrics
- Best (accuracy): 0.6731601731601732 @ step None
- Final eval: accuracy=0.579004329004329, f1=0.5481997677119629
Train Sampling
- mode: balanced
- before: normal=56738 abnormal=30844 total=87582
- after: normal=30844 abnormal=30844 total=61688
Inference
from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image
import torch
processor = AutoImageProcessor.from_pretrained('happy8825/siglip-ecva-main')
model = AutoModelForImageClassification.from_pretrained('happy8825/siglip-ecva-main')
img = Image.open('your_image.png').convert('RGB')
inputs = processor(images=img, return_tensors='pt')
with torch.no_grad():
logits = model(**inputs).logits
pred = logits.argmax(-1).item()
print(model.config.id2label[pred])
- Type
- siglip
- Created
- Dec 16, 2025
- Updated
- Dec 16, 2025