Instructions to use sportstensor/basic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sportstensor/basic_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://sportstensor/basic_model") - Notebooks
- Google Colab
- Kaggle
Download epl/fixture_data.xlsx from sportstensor/basic_model: direct link, hf CLI and curl.
- Browser
- Download file 225 kB
-
https://huggingface.co/sportstensor/basic_model/resolve/refs%2Fpr%2F1/epl/fixture_data.xlsx
- Command line
-
hf download hf://sportstensor/basic_model@refs/pr/1/epl/fixture_data.xlsx
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curl -L -o fixture_data.xlsx https://huggingface.co/sportstensor/basic_model/resolve/refs%2Fpr%2F1/epl/fixture_data.xlsx
225 kB
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