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docs: Update model support with Triton's FIL backend #484

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docs: Update model support with Triton's FIL backend #484

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20 changes: 10 additions & 10 deletions docs/model-formats/README.md
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Expand Up @@ -12,15 +12,15 @@ By leveraging existing third-party model servers, we support a number of standar
- [XGBoost](xgboost.md)

| Model Type | Framework | Supported via ServingRuntime |
| ----------- | ---------------- | ---------------------------- |
| keras | TensorFlow | Triton (C++) |
| lightgbm | LightGBM | MLServer (python) |
| onnx | ONNX | Triton (C++), OVMS (C++) |
| openvino_ir | Intel OpenVINO\* | OVMS (C++) |
| pytorch | PyTorch | Triton (C++) |
| sklearn | scikit-learn | MLServer (python) |
| tensorflow | TensorFlow | Triton (C++) |
| xgboost | XGBoost | MLServer (python) |
| any | Custom | [Custom](../runtimes) (any) |
| ----------- | ---------------- |------------------------------|
| keras | TensorFlow | Triton |
| lightgbm | LightGBM | MLServer, Triton |
| onnx | ONNX | Triton, OVMS |
| openvino_ir | Intel OpenVINO\* | OVMS |
| pytorch | PyTorch | Triton |
| sklearn | scikit-learn | MLServer, Triton |
| tensorflow | TensorFlow | Triton |
| xgboost | XGBoost | MLServer, Triton |
| any | Custom | [Custom](../runtimes) |

(\*)Many ML frameworks can have models converted to the OpenVINO IR format, such as Caffe, TensorFlow, MXNet, PaddlePaddle and ONNX, doc [here](https://docs.openvino.ai/latest/ovms_what_is_openvino_model_server.html).
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