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:
- 94f2e122b721b3262170b1c4e6610ec64fdab7dce3e702ff192856958020fc86
- Size of remote file:
- 53.6 MB
- SHA256:
- b66ad937568293257a76d3a80f561a8f72e092103d8c98f687398779365fef06
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