Instructions to use SoulPerforms/Butterfly_image_classification_resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoulPerforms/Butterfly_image_classification_resnet18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SoulPerforms/Butterfly_image_classification_resnet18") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SoulPerforms/Butterfly_image_classification_resnet18", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 260 Bytes
d20d3b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"avg_down": false,
"base_width": 64,
"block_type": "basic",
"input_channels": 3,
"layers": [
2,
2,
2,
2
],
"model_type": "resnet",
"num_classes": 75,
"stem_type": "",
"stem_width": 64,
"transformers_version": "4.38.1"
}
|