|
@@ -48,6 +48,7 @@ ________________________________________________________________________________
|
|
# Load model with pretrained weights
|
|
# Load model with pretrained weights
|
|
model = models.get("yolox_s", pretrained_weights="coco")
|
|
model = models.get("yolox_s", pretrained_weights="coco")
|
|
```
|
|
```
|
|
|
|
+#### All Computer Vision Models - Pretrained Checkpoints can be found [here](src/super_gradients/training/Computer_Vision_Models_Pretrained_Checkpoints.md)
|
|
|
|
|
|
#### Classification
|
|
#### Classification
|
|
<div align="center">
|
|
<div align="center">
|
|
@@ -65,10 +66,6 @@ model = models.get("yolox_s", pretrained_weights="coco")
|
|
</div>
|
|
</div>
|
|
|
|
|
|
|
|
|
|
-
|
|
|
|
-All Computer Vision Models - Pretrained Checkpoints can be found [here](src/super_gradients/training/Computer_Vision_Models_Pretrained_Checkpoints.md)
|
|
|
|
-
|
|
|
|
-
|
|
|
|
### Easy to train SOTA Models
|
|
### Easy to train SOTA Models
|
|
|
|
|
|
Easily load and fine-tune production-ready, pre-trained SOTA models that incorporate best practices and validated hyper-parameters for achieving best-in-class accuracy.
|
|
Easily load and fine-tune production-ready, pre-trained SOTA models that incorporate best practices and validated hyper-parameters for achieving best-in-class accuracy.
|