Instructions to use ipd805/digit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipd805/digit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ipd805/digit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ipd805/digit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -14,7 +14,7 @@
|
|
| 14 |
}
|
| 15 |
],
|
| 16 |
"interpretation_script": "yolo",
|
| 17 |
-
"weights": "
|
| 18 |
"class_to_idx": {"digit": 0, "icon": 1},
|
| 19 |
"model_parameters": {
|
| 20 |
"confidence_threshold": 0.5,
|
|
|
|
| 14 |
}
|
| 15 |
],
|
| 16 |
"interpretation_script": "yolo",
|
| 17 |
+
"weights": "best1-2.onnx",
|
| 18 |
"class_to_idx": {"digit": 0, "icon": 1},
|
| 19 |
"model_parameters": {
|
| 20 |
"confidence_threshold": 0.5,
|