Reinforcement Learning
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Instructions to use nirajandhakal/StockZero-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nirajandhakal/StockZero-v2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nirajandhakal/StockZero-v2") - Notebooks
- Google Colab
- Kaggle
Add Model weights for StockZero
Browse files
StockZero-v1-2025-03-24.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff8c829658bb15c0a4afbac5ac0e9d8366b96f1b6cfe08bd58ad92722c3c53c8
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size 38331864
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StockZero-v2-2025-03-24-1727.weights.h5
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oid sha256:5a12b700274008f45b30b3dcee1824dc71f73525aad69d52abf75571fcba31cf
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size 38331864
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