Instructions to use mchochowski/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mchochowski/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mchochowski/test-model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mchochowski/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 336 Bytes
cc5ac51 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"architecture": "resnet50d",
"classifier": "fc",
"crop_pct": 0.875,
"first_conv": "conv1.0",
"input_size": [
3,
224,
224
],
"interpolation": "bicubic",
"mean": [
0.485,
0.456,
0.406
],
"num_classes": 1000,
"pool_size": [
7,
7
],
"std": [
0.229,
0.224,
0.225
]
}
|