Instructions to use BtechProjectPCCOE/backend_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BtechProjectPCCOE/backend_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BtechProjectPCCOE/backend_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3db7f6edd03bcbeb3367e4d3c803e19a82372c92c16d0b642887d8e14685b2f
- Size of remote file:
- 229 MB
- SHA256:
- 3ea178e44a802816aed922387593bb75fc087bd3096ca49aad3684fbf5b8be6d
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