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 mlb/combined_table.csv from sportstensor/basic_model: direct link, hf CLI and curl.
- Browser
- Download file 1.3 MB
-
https://huggingface.co/sportstensor/basic_model/resolve/refs%2Fpr%2F1/mlb/combined_table.csv
- Command line
-
hf download hf://sportstensor/basic_model@refs/pr/1/mlb/combined_table.csv
-
curl -L -o combined_table.csv https://huggingface.co/sportstensor/basic_model/resolve/refs%2Fpr%2F1/mlb/combined_table.csv
1.3 MB
File too large to display, you can check the raw version instead.