Instructions to use cmncomp/roadwork2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmncomp/roadwork2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cmncomp/roadwork2") 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("cmncomp/roadwork2") model = AutoModelForImageClassification.from_pretrained("cmncomp/roadwork2") - Notebooks
- Google Colab
- Kaggle
Update model_card.json
Browse files- model_card.json +1 -1
model_card.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"model_name": "
|
| 3 |
"description": "Roadwork model",
|
| 4 |
"version": "1.0.0",
|
| 5 |
"submitted_by": "5E56WX3jLCN1Wo4fwxdhZmQPtJi76G1mRpZt86ZCUpdENm6s",
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_name": "roadworfefeafek0893133",
|
| 3 |
"description": "Roadwork model",
|
| 4 |
"version": "1.0.0",
|
| 5 |
"submitted_by": "5E56WX3jLCN1Wo4fwxdhZmQPtJi76G1mRpZt86ZCUpdENm6s",
|