Instructions to use SpotLab/microfilariae_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpotLab/microfilariae_detection with Transformers:
# Load model directly from transformers import SSDForObjectDetection model = SSDForObjectDetection.from_pretrained("SpotLab/microfilariae_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SSDForObjectDetection" | |
| ], | |
| "id2label": { | |
| "0": "microfilaria" | |
| }, | |
| "layer_norm_eps": 0.001, | |
| "threshold": 0.3, | |
| "min_depth": 8, | |
| "num_channels": 3, | |
| "num_detection_tokens": 20, | |
| "output_stride": 32, | |
| "semantic_loss_ignore_index": 255, | |
| "tf_padding": true, | |
| "model_type": "mobilenetV2", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.33.3" | |
| } |