File size: 1,029 Bytes
de8fafd
 
 
dffbe5f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
---
license: apache-2.0
---

moondream2 is a small vision language model designed to run efficiently on edge devices. Check out the [GitHub repository](https://github.com/vikhyat/moondream) for details.

**Benchmarks**

| Release | VQAv2 | GQA | TextVQA | POPE | TallyQA |
| --- | --- | --- | --- | --- | --- |
| **2024-03-04** (latest) | 74.2 | 58.5 | 36.4 | (coming soon) | (coming soon) |

**Usage**

```bash
pip install transformers timm einops
```

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model_id = "vikhyatk/moondream2"
model = AutoModelForCausalLM.from_pretrained(
    model_id, trust_remote_code=True, revision="2024-03-04"
)
tokenizer = AutoTokenizer.from_pretrained(model_id, revision="2024-03-04")

image = Image.open('<IMAGE_PATH>')
enc_image = model.encode_image(image)
print(model.answer_question(enc_image, "Describe this image.", tokenizer))
```

The model is updated regularly, so we recommend pinning the model version to a
specific release as shown above.