Instructions to use halen214/road72 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halen214/road72 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="halen214/road72") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("halen214/road72") model = AutoModelForImageClassification.from_pretrained("halen214/road72") - Notebooks
- Google Colab
- Kaggle
Edwin Hamlet commited on
Update model_card.json
Browse files- model_card.json +1 -1
model_card.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"model_name": "road72", "description": "model for roadwork", "version": "1.0.0", "submitted_by": "5DV9KdYhggotduWA3P4GfP6eNNvGxsaGKx1VEbCxVDUGh39T", "submission_time":
|
|
|
|
| 1 |
+
{"model_name": "road72", "description": "model for roadwork", "version": "1.0.0", "submitted_by": "5DV9KdYhggotduWA3P4GfP6eNNvGxsaGKx1VEbCxVDUGh39T", "submission_time": 1754031162}
|