Instructions to use DataScienceProject/CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DataScienceProject/CNN 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://DataScienceProject/CNN") - Notebooks
- Google Colab
- Kaggle
Download model_weights/model_fold_2.weights.h5 from DataScienceProject/CNN: direct link, hf CLI and curl.
- Browser
- Download file 39.2 MB
-
https://huggingface.co/DataScienceProject/CNN/resolve/main/model_weights/model_fold_2.weights.h5
- Command line
-
hf download hf://DataScienceProject/CNN/model_weights/model_fold_2.weights.h5
-
curl -L -o model_fold_2.weights.h5 https://huggingface.co/DataScienceProject/CNN/resolve/main/model_weights/model_fold_2.weights.h5
39.2 MB
- Xet hash:
- 766ae63305c7fa50ea8962fa0529b46415b1c935b479db653b00dafb1ceba1db
- Size of remote file:
- 39.2 MB
- SHA256:
- ff9663a3af3a497aa8f4a101e0d688c8e8f6370702ff92d12e89d612eb611e95
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