Please read the readme.txt in the zip file for more information. There is no accuracy validation done with this model. Application: Question Answering ML Task: Language Framework: Tensorflow Training Information: readme.txt in the file Quality: NA Precision: FP32 Is Quantized: no Is ONNX: no Dataset: Squad v1.1 Version: MLPerf v0.7 Inference Keywords: Add the followings to keywords , , , , , Pretrained Mode
Application: Question & Answering ML Task: MobileBERT Framework: ONNX Training information: sourc...
This model is finetuned and quantized based on a pretrained huggingface BERT model. The quantizatio...
This 3D-Unet TensorFlow model is converted from https://zenodo.org/record/3904138. See MLPerf Infere...
Application: Question & Answering ML Task: MobileBERT Framework: Tensorflow 1.15 Training Informatio...
Application: Question & Answering ML Task: MobileBERT Framework: TensorFlow (Lite) 2.2 Training I...
BERT TensorFlow model trained on SQuAD v1.1 for MLPerf Inference. To re-create the model, train on S...
Application: Semantic Segmentation ML Task: DeepLabV3Plus Framework: TensorFlow 1.15 for training/...
This model is frozen from official MLPerf inference benchmark BERT model at this zenodo link with ba...
This model is converted from the MLPerf Inference BERT Tensorflow Model on SQuAD v1.1 dataset using ...
SSD-MobileNet-v1 models used in MLPerf Inference: A TensorFlow model archived from the TensorFlow...
This model is fine-tuned based on MLPerf Inference BERT PyTorch Model on SQuAD v1.1 dataset and conv...
Application: Object Detection ML Task: ResNet-34-SSD Framework: tensorflow 1.9 Training Informati...
Application: Object Detection ML Task: ssd-resnet34 Framework: tensorflow 1.12 Training Informat...
Application: Image Classification ML Task: mobilenetv1 Framework: ONNX (via tensorflow) Training ...
This model is converted from the MLPerf Inference BERT Tensorflow Model on SQuAD v1.1 dataset using ...
Application: Question & Answering ML Task: MobileBERT Framework: ONNX Training information: sourc...
This model is finetuned and quantized based on a pretrained huggingface BERT model. The quantizatio...
This 3D-Unet TensorFlow model is converted from https://zenodo.org/record/3904138. See MLPerf Infere...
Application: Question & Answering ML Task: MobileBERT Framework: Tensorflow 1.15 Training Informatio...
Application: Question & Answering ML Task: MobileBERT Framework: TensorFlow (Lite) 2.2 Training I...
BERT TensorFlow model trained on SQuAD v1.1 for MLPerf Inference. To re-create the model, train on S...
Application: Semantic Segmentation ML Task: DeepLabV3Plus Framework: TensorFlow 1.15 for training/...
This model is frozen from official MLPerf inference benchmark BERT model at this zenodo link with ba...
This model is converted from the MLPerf Inference BERT Tensorflow Model on SQuAD v1.1 dataset using ...
SSD-MobileNet-v1 models used in MLPerf Inference: A TensorFlow model archived from the TensorFlow...
This model is fine-tuned based on MLPerf Inference BERT PyTorch Model on SQuAD v1.1 dataset and conv...
Application: Object Detection ML Task: ResNet-34-SSD Framework: tensorflow 1.9 Training Informati...
Application: Object Detection ML Task: ssd-resnet34 Framework: tensorflow 1.12 Training Informat...
Application: Image Classification ML Task: mobilenetv1 Framework: ONNX (via tensorflow) Training ...
This model is converted from the MLPerf Inference BERT Tensorflow Model on SQuAD v1.1 dataset using ...
Application: Question & Answering ML Task: MobileBERT Framework: ONNX Training information: sourc...
This model is finetuned and quantized based on a pretrained huggingface BERT model. The quantizatio...
This 3D-Unet TensorFlow model is converted from https://zenodo.org/record/3904138. See MLPerf Infere...
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