Instructions to use Subhadip007/UERP_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Subhadip007/UERP_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://Subhadip007/UERP_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69b335fd6f5b280bc51020a961f3a19c8f711d08889f4d3ecf99536a50714c76
- Size of remote file:
- 820 MB
- SHA256:
- 2d2132fbbc97a5c7a72f2be425619c066934d91af57ea76f00377b4cc418c268
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.