Instructions to use hqasmei/collaborative-filtering-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hqasmei/collaborative-filtering-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://hqasmei/collaborative-filtering-model") - Notebooks
- Google Colab
- Kaggle
Download model.png from hqasmei/collaborative-filtering-model: direct link, hf CLI and curl.
- Browser
- Download file 1.79 kB
-
https://huggingface.co/hqasmei/collaborative-filtering-model/resolve/main/model.png
- Command line
-
hf download hf://hqasmei/collaborative-filtering-model/model.png
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curl -L -o model.png https://huggingface.co/hqasmei/collaborative-filtering-model/resolve/main/model.png
1.79 kB

- Xet hash:
- 77d90fac1a5605f57141be1ac11930e42d4cf1dde48113b8a30a6dd69031b5a0
- Size of remote file:
- 1.79 kB
- SHA256:
- daf249bff2fec946936cfba1ed0b21bef00ede2061fe61cd1a3f0b56a7f634c0
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