Instructions to use shubhamsingh123/mnist-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shubhamsingh123/mnist-model with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://shubhamsingh123/mnist-model") - Notebooks
- Google Colab
- Kaggle
Download sample_data/mnist_train_small.csv from shubhamsingh123/mnist-model: direct link, hf CLI and curl.
- Browser
- Download file 36.5 MB
-
https://huggingface.co/shubhamsingh123/mnist-model/resolve/main/sample_data/mnist_train_small.csv
- Command line
-
hf download hf://shubhamsingh123/mnist-model/sample_data/mnist_train_small.csv
-
curl -L -o mnist_train_small.csv https://huggingface.co/shubhamsingh123/mnist-model/resolve/main/sample_data/mnist_train_small.csv
36.5 MB
- Xet hash:
- 94de61cb578bb83b7636c00798d718783cbef01c3ac13589ee31fac981e73fbc
- Size of remote file:
- 36.5 MB
- SHA256:
- 1ef64781aa03180f4f5ce504314f058f5d0227277df86060473d973cf43b033e
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