Deci’s model zoo includes pre-trained and optimized PyTorch-based computer vision models
Supported Tasks: Image classification, semantic segmentation and Object detection tasks.
The model zoo includes open source and proprietary models auto-generated by Deci’s Neural Architecture construction engine (AutoNAC).
Deci’s model zoo includes pre-trained and optimized PyTorch-based computer vision models
Automatically find accurate & fast architectures tailored for your application, hardware and performance targets with Deci’s AutoNAC engine.
Leverage proven recipes and hyperparameters with Deci’s PyTorch based open source training library (SuperGradients).
Automatically Compile and Quantize your models and evaluate different production settings. (OpenVINO, TensorRT etc).
from transformers import AutoFeatureExtractor, AutoModelForImageClassification
extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")
model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")