| library_name: transformers | |
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceM4/the_cauldron | |
| - HuggingFaceM4/Docmatix | |
| pipeline_tag: image-text-to-text | |
| language: | |
| - en | |
| base_model: HuggingFaceTB/SmolVLM-256M-Instruct | |
| tags: | |
| - openvino | |
| - openvino-export | |
| This model was converted to OpenVINO from [`HuggingFaceTB/SmolVLM-256M-Instruct`](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) using [optimum-intel](https://github.com/huggingface/optimum-intel) | |
| via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space. | |
| 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/SmolVLM-256M-Instruct-openvino" | |
| model = OVModelForVisualCausalLM.from_pretrained(model_id) | |
| ``` | |