Instructions to use TGrote11/Math_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TGrote11/Math_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TGrote11/Math_Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import CNN model = CNN.from_pretrained("TGrote11/Math_Classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 126 Bytes
ad2557d | 1 2 3 4 5 6 7 8 9 | {
"architectures": [
"CNN"
],
"model_type": "cnn",
"torch_dtype": "float32",
"transformers_version": "4.17.0"
}
|