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README.md

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+---
+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)
+```