Instructions to use Irgendsoeine/FaceTheVotev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Irgendsoeine/FaceTheVotev2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Irgendsoeine/FaceTheVotev2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import mobilenetForImageClassification model = mobilenetForImageClassification.from_pretrained("Irgendsoeine/FaceTheVotev2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
139ec35
1
Parent(s): ece5052
Create config.json
Browse files- config.json +13 -0
config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"mobilenetForImageClassification"
|
| 4 |
+
],
|
| 5 |
+
"downsample_in_first_stage": false,
|
| 6 |
+
"id2label": {
|
| 7 |
+
"0": "left-wing",
|
| 8 |
+
"1": "right-wing"
|
| 9 |
+
},
|
| 10 |
+
"model_type": "mobilenet",
|
| 11 |
+
"num_channels": 3,
|
| 12 |
+
"transformers_version": "4.18.0.dev0"
|
| 13 |
+
}
|