Downloads · 30 days
4
6% of all-time downloads
Eki734/meteorite-dinov2-b14-direct
meteorite-dinov2-b14-direct is a image classification model from Eki734. Use it when you need a label for an image. It is set up for transformers. The card lists the license as mit.
Direct-call Hugging Face custom model for meteorite image classification.
Downloads · 30 days
4
6% of all-time downloads
All-time downloads
63
Public
Repo size
353 MB
Likes
0
Public
Click a slice to open those files.
.bin350 MB · 100%
From the Hugging Face model README
Direct-call Hugging Face custom model for meteorite image classification.
from transformers import AutoModelForImageClassification
from PIL import Image
model = AutoModelForImageClassification.from_pretrained(
"Eki734/meteorite-dinov2-b14-direct",
trust_remote_code=True,
)
image = Image.open("example.jpg")
result = model.predict(image)
print(float(result["prob_meteorite"][0]))
This repository stores the trained MLP probe head. The frozen DINOv2-B with registers backbone (dinov2_vitb14_reg) is loaded from torch.hub at runtime.
Public score of the corresponding Top-90 submission: 0.79545.