Instructions to use hikmatfarhat/MNIST_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hikmatfarhat/MNIST_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hikmatfarhat/MNIST_Classifier", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hikmatfarhat/MNIST_Classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 343 Bytes
233e6e6 0bd2cee 233e6e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"architectures": [
"MNIST_Classifier"
],
"auto_map": {
"AutoConfig": "config.MNIST_config",
"AutoModel": "model.MNIST_Classifier"
},
"hidden_size1": 128,
"hidden_size2": 64,
"input_size": 784,
"model_type": "MNIST_Classifier",
"output_size": 10,
"torch_dtype": "float32",
"transformers_version": "4.35.2"
}
|