Using tensorrt to accelerate model inference - Code World

Using tensorrt to accelerate model inference

Enterprise 2023-09-18 20:39:30 views: null

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Origin blog.csdn.net/xzpdxz/article/details/124726563

Using tensorrt to accelerate model inference

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7.1.tensorRT Advanced (2)-Using openvino for onnx model inference process

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LLM inference deployment (5): AirLLM can perform inference on a 70B large model using 4G memory

paddleocr - inference model used

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Inference with onnxruntime-gpu model

Large model serverless inference system

CenterFace model to TensorRT

pytorch model to onnx and then to tensorrt

Deep learning model compression and accelerated model inference

Jetson AGX Xavier implements TensorRT to accelerate YOLOv4

Yolov5 to ONNX model + C++ deployment using ONNX Runtime (including the introduction of official documents and using different inference engines as ONNXRuntime backend)

TensorRT deployment depth learning model

Convert PaddleOCR model to ONNX to TensorRT

yolov5 model to tensorRT

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