|
--- |
|
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, or try it out on the [Hugging Face Space](https://huggingface.co/spaces/vikhyatk/moondream2)! |
|
|
|
**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" |
|
revision = "2024-03-05" |
|
model = AutoModelForCausalLM.from_pretrained( |
|
model_id, trust_remote_code=True, revision=revision |
|
) |
|
tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision) |
|
|
|
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. |
