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- [ Convert models from ModelScope to OpenVINO] ( ./modelscope-to-openvino/modelscope-to-openvino.ipynb )
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- [ Hello Model Server] ( ./model-server/model-server.ipynb )
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- [ LocalAI and OpenVINO] ( ./localai/localai.ipynb )
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+ - [ Text Generation with LoRA via OpenVINO GenAI] ( ./llm-lora/llm-lora.ipynb )
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- [ Quantize NLP models with Post-Training Quantization in NNCF] ( ./language-quantize-bert/language-quantize-bert.ipynb )
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- [ Run inference in Keras 3 with the OpenVINO™ IR backend] ( ./keras-with-openvino-backend/keras-with-openvino-backend.ipynb )
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- [ Convert a JAX Model to OpenVINO™ IR] ( ./jax-to-openvino/jax-classification-to-openvino.ipynb )
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## First Steps
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- [ OpenVINO™ Runtime API Tutorial] ( ./openvino-api/openvino-api.ipynb )
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+ - [ Text Generation with LoRA via OpenVINO GenAI] ( ./llm-lora/llm-lora.ipynb )
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- [ Image-to-image generation using OpenVINO GenAI] ( ./image-to-image-genai/image-to-image-genai.ipynb )
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- [ Hello Image Classification] ( ./hello-world/hello-world.ipynb )
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- [ Hello Image Segmentation] ( ./hello-segmentation/hello-segmentation.ipynb )
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