prithivMLmods commited on
Commit
3fa23df
·
verified ·
1 Parent(s): c1a775a

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -14,9 +14,9 @@ tags:
14
 
15
  ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/3QSs87msGNfDnPiiHsU1m.png)
16
 
17
- # **SigLIP2-ImageShield-90M**
18
 
19
- > **SigLIP2-ImageShield-90M** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for **multi-class image classification**. Built on the **SiglipForImageClassification** architecture, the model is designed to identify and categorize visual content for explicit, suggestive, and safe media filtering.
20
 
21
  > [!note]
22
  > *SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features*
@@ -49,7 +49,7 @@ from PIL import Image
49
  import torch
50
 
51
  # Load model and processor
52
- model_name = "prithivMLmods/SigLIP2-ImageShield-90M" # Replace with your model path if needed
53
  model = SiglipForImageClassification.from_pretrained(model_name)
54
  processor = AutoImageProcessor.from_pretrained(model_name)
55
 
 
14
 
15
  ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/3QSs87msGNfDnPiiHsU1m.png)
16
 
17
+ # **SigLIP2-ImageShield-90M-224**
18
 
19
+ > **SigLIP2-ImageShield-90M-224** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for **multi-class image classification**. Built on the **SiglipForImageClassification** architecture, the model is designed to identify and categorize visual content for explicit, suggestive, and safe media filtering.
20
 
21
  > [!note]
22
  > *SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features*
 
49
  import torch
50
 
51
  # Load model and processor
52
+ model_name = "prithivMLmods/SigLIP2-ImageShield-90M-224" # Replace with your model path if needed
53
  model = SiglipForImageClassification.from_pretrained(model_name)
54
  processor = AutoImageProcessor.from_pretrained(model_name)
55