Instructions to use Rogendo/forex-lstm-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Rogendo/forex-lstm-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Rogendo/forex-lstm-models") - Notebooks
- Google Colab
- Kaggle
forex-lstm-models
#1
by xSK101x - opened
No description provided.
https://stock-lstm.streamlit.app/ - Testing interface for the price forecasting models. You just need to select a currency pair/ alongside the timeframe, then select the window that the model looks at (history) ... Use on Demo. If you blow your Live account because of this, shame on you.
Rogendo changed pull request status to open