Instructions to use StockCast/gru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use StockCast/gru 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://StockCast/gru") - Notebooks
- Google Colab
- Kaggle
Download models/ACTIVEFINE/scaler_ACTIVEFINE.bin from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 959 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ACTIVEFINE/scaler_ACTIVEFINE.bin
- Command line
-
hf download hf://StockCast/gru/models/ACTIVEFINE/scaler_ACTIVEFINE.bin
-
curl -L -o scaler_ACTIVEFINE.bin https://huggingface.co/StockCast/gru/resolve/main/models/ACTIVEFINE/scaler_ACTIVEFINE.bin
959 Bytes
- Xet hash:
- 521b091902c1fa7404227f7b55f28ee50d2d9fff4ed7c98f462637e31ac2f9bc
- Size of remote file:
- 959 Bytes
- SHA256:
- fc698a4f99d0c8ad9bf87c66ebe3e48fd670cf7e40e57d1228c699049c867004
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