Instructions to use Khelendramee/stocker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Khelendramee/stocker with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Khelendramee/stocker") - Notebooks
- Google Colab
- Kaggle
Upload reliance_lstm.h5
Browse files- reliance_lstm.h5 +3 -0
reliance_lstm.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d22339644e46738d3a133f2c6480a4aa511c1c9688b9d28187f9a53e1242c12
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size 195016
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