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README.md

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+---
+library_name: transformers
+license: apache-2.0
+datasets:
+- HuggingFaceM4/the_cauldron
+- HuggingFaceM4/Docmatix
+- lmms-lab/LLaVA-OneVision-Data
+- lmms-lab/M4-Instruct-Data
+- HuggingFaceFV/finevideo
+- MAmmoTH-VL/MAmmoTH-VL-Instruct-12M
+- lmms-lab/LLaVA-Video-178K
+- orrzohar/Video-STaR
+- Mutonix/Vript
+- TIGER-Lab/VISTA-400K
+- Enxin/MovieChat-1K_train
+- ShareGPT4Video/ShareGPT4Video
+pipeline_tag: image-text-to-text
+tags:
+- video-text-to-text
+- openvino
+- openvino-export
+language:
+- en
+base_model: HuggingFaceTB/SmolVLM2-2.2B-Instruct
+---
+
+This model was converted to OpenVINO from [`HuggingFaceTB/SmolVLM2-2.2B-Instruct`](https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-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/SmolVLM2-2.2B-Instruct-openvino"
+model = OVModelForVisualCausalLM.from_pretrained(model_id)
+```