---
title: siglip2-so400m-patch16-384
canonical_url: "https://www.modelscope.cn/models/mlx-community/siglip2-so400m-patch16-384"
md_url: "https://www.modelscope.cn/models/mlx-community/siglip2-so400m-patch16-384.md"
repository: mlx-community/siglip2-so400m-patch16-384
last_updated: 2026-06-07
license: apache-2.0
model_type:
  - siglip
parameters: 1.1B
tensor_type:
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 19
stars: 0
tags:
  - vision
  - mlx
---

# siglip2-so400m-patch16-384

> siglip2-so400m-patch16-384 - mlx-community 在 ModelScope 开源的模型。mlx-community/siglip2-so400m-patch16-384

mlx-community/siglip2-so400m-patch16-384 是 ModelScope 魔搭社区上的 1.1B 参数机器学习模型，采用 apache-2.0 许可。

- **Repository**: mlx-community/siglip2-so400m-patch16-384
- **License**: apache-2.0
- **Parameters**: 1.1B
- **Tags**: vision, mlx
- **Downloads**: 19
- **Stars**: 0
- **Last updated**: 2026-06-07

Source: https://www.modelscope.cn/models/mlx-community/siglip2-so400m-patch16-384

---

# mlx-community/siglip2-so400m-patch16-384

The Model [mlx-community/siglip2-so400m-patch16-384](https://huggingface.co/mlx-community/siglip2-so400m-patch16-384) was converted to MLX format from [google/siglip2-so400m-patch16-384](https://huggingface.co/google/siglip2-so400m-patch16-384) using mlx-lm version **0.1.0**.

## Use with mlx

```bash
pip install mlx-embeddings
```

```python
from mlx_embeddings import load, generate
import mlx.core as mx

model, tokenizer = load("mlx-community/siglip2-so400m-patch16-384")

# For image-text embeddings
images = [
    "./images/cats.jpg",  # cats
]
texts = ["a photo of cats", "a photo of a desktop setup", "a photo of a person"]

# Process all image-text pairs
outputs = generate(model, processor, texts, images=images)
logits_per_image = outputs.logits_per_image
probs = mx.sigmoid(logits_per_image) # probabilities for this image
for i, image in enumerate(images):
    print(f"Image {i+1}:")
    for j, text in enumerate(texts):
        print(f"  {probs[i][j]:.1%} match with '{text}'")
    print()


```