Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
mnist
handwritten-digits
Generated from Trainer
Instructions to use Fadri/mnist-digit-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fadri/mnist-digit-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fadri/mnist-digit-recognition") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fadri/mnist-digit-recognition", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4348c5f7364eac3b4de0b470d5b329a5ca95b07d2a87011e401b0c8157285903
- Size of remote file:
- 5.37 kB
- SHA256:
- f031fa21a7bccd26f5e6eb8137465a7018d6cc3ea8efd98e659fdded03008d1f
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