Instructions to use DrMarcus24/stock-predictor-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DrMarcus24/stock-predictor-dev with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DrMarcus24/stock-predictor-dev") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: keras
This model has been uploaded using the Keras library and can be used with JAX, TensorFlow, and PyTorch backends.
This model card has been generated automatically and should be completed by the model author. See Model Cards documentation for more information.
For more details about the model architecture, check out config.json.