Instructions to use camstack/camstack-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use camstack/camstack-models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("camstack/camstack-models") - Notebooks
- Google Colab
- Kaggle
add vehicleClassification/vehicle-type-v1 small classifier (onnx+openvino+coreml+labels)
604e912 verified | { | |
| "labels": [ | |
| "Ambulance", | |
| "Bicycle", | |
| "Bus", | |
| "Car", | |
| "Motorcycle", | |
| "Taxi", | |
| "Truck", | |
| "Van" | |
| ], | |
| "input_size": 224, | |
| "num_classes": 8, | |
| "preprocess": { | |
| "normalize": "imagenet", | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "channels": "RGB", | |
| "layout": "NCHW" | |
| }, | |
| "arch": "mobilenet_v3_large", | |
| "source": "torchvision IMAGENET1K_V2 fine-tuned on DrBimmer/vehicle-classification road subset", | |
| "license": "BSD-3-Clause (torchvision) / dataset per-source", | |
| "output": "logits (apply softmax)", | |
| "best_val_acc": 0.8938 | |
| } |