library_name: transformers | |
license: apache-2.0 | |
pipeline_tag: image-text-to-text | |
language: | |
- en | |
base_model: echarlaix/SmolVLM2-256M-Video-Instruct-openvino | |
tags: | |
- openvino | |
- nncf | |
- 8-bit | |
This model is a quantized version of [`echarlaix/SmolVLM2-256M-Video-Instruct-openvino`](https://huggingface.co/echarlaix/SmolVLM2-256M-Video-Instruct-openvino) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel). | |
First make sure you have `optimum-intel` installed: | |
```bash | |
pip install optimum[openvino] | |
``` | |
To load your model you can do as follows: | |
```python | |
from optimum.intel import OVModelForVisualCausalLM | |
model_id = "echarlaix/SmolVLM2-256M-Video-Instruct-openvino-8bit-static-2" | |
model = OVModelForVisualCausalLM.from_pretrained(model_id) | |
``` | |