|
--- |
|
base_model: |
|
- OpenGVLab/InternVL2-2B |
|
--- |
|
|
|
This is the [OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B) model, converted to OpenVINO |
|
with INT4 compressed weights for the language model, INT8 weights for the other models. |
|
|
|
Use OpenVINO GenAI to run inference on this model: |
|
|
|
- `pip install openvino-genai pillow` |
|
- Download a test image: `curl -O "https://storage.openvinotoolkit.org/test_data/images/dog.jpg"` |
|
- Run inference: |
|
|
|
```python |
|
import numpy as np |
|
import openvino as ov |
|
import openvino_genai |
|
from PIL import Image |
|
|
|
# Choose GPU instead of CPU in the line below to run the model on Intel integrated or discrete GPU |
|
pipe = openvino_genai.VLMPipeline("./InternVL2-2B-ov", "CPU") |
|
pipe.start_chat() |
|
|
|
image = Image.open("dog.jpg") |
|
image_data = np.array(image.getdata()).reshape(1, image.size[1], image.size[0], 3).astype(np.uint8) |
|
image_data = ov.Tensor(image_data) |
|
|
|
prompt = "Can you describe the image?" |
|
result = pipe.generate(prompt, image=image_data, max_new_tokens=100) |
|
print(result.texts[0]) |
|
``` |
|
|
|
See [OpenVINO GenAI repository](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#performing-visual-language-text-generation) |
