Total runs:
1.6K
Run Growth:
0
Growth Rate:
0.00%
Sponsored by
iMean AI Trip Planner
DeepGlint-AI / rice-vit-large-patch14-560
Model's Last Updated: July 29 2025
image-feature-extraction
Introduction of rice-vit-large-patch14-560
Model Details of rice-vit-large-patch14-560
RICE-ViT-L Model Card
Installation
pip install torch transformers
git clone https://github.com/deepglint/unicom
cd unicom/mlcd
Usage
from vit_rope2d_hf import MLCDVisionModel
from transformers import CLIPImageProcessor
from PIL import Image
import requests
import torch
# Load model and processor
model = MLCDVisionModel.from_pretrained("DeepGlint-AI/rice-vit-large-patch14-560")
processor = CLIPImageProcessor.from_pretrained("DeepGlint-AI/rice-vit-large-patch14-560")
# Process single image
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)
inputs = processor(images=image, return_tensors="pt")
# Get visual features
with torch.no_grad():
outputs = model(**inputs)
features = outputs.last_hidden_state
print(f"Extracted features shape: {features.shape}")
Runs of DeepGlint-AI rice-vit-large-patch14-560 on huggingface.co
332
Total runs
0
24-hour runs
-21
3-day runs
-216
7-day runs
-216
30-day runs
More Information About rice-vit-large-patch14-560 huggingface.co Model
Url of rice-vit-large-patch14-560
rice-vit-large-patch14-560 huggingface.co Url
Provider of rice-vit-large-patch14-560 huggingface.co
Other API from DeepGlint-AI
Updated:May 07 2025
Total runs:
688
Run Growth:
-60
Growth Rate:
-8.72%
Total runs:
555
Run Growth:
-124
Growth Rate:
-22.34%
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548
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Growth Rate:
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235
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233
Run Growth:
150
Growth Rate:
64.38%
Total runs:
62
Run Growth:
40
Growth Rate:
67.80%
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18
Run Growth:
7
Growth Rate:
38.89%
Total runs:
9
Run Growth:
4
Growth Rate:
44.44%
Total runs:
4
Run Growth:
-4
Growth Rate:
-100.00%
Total runs:
1
Run Growth:
-12
Growth Rate:
-1200.00%
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