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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a3e0acd66d5d1214dfa5f5b95bf6c57023c36cfc30b7046c6002162c4e8835b
- Size of remote file:
- 438 kB
- SHA256:
- be564e6f102c09fc41e0f6dc4ed302dab8828457c67964eb698091c8795580a0
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