Instructions to use shubhamasti/pm-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shubhamasti/pm-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shubhamasti/pm-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c35a19149b006da4ace3310a7c70cb10024f3b7a6877a206bc51382d66cd058e
- Size of remote file:
- 7.58 MB
- SHA256:
- 381bd19a73516d7843567532f7edf89b1f5d949fb9c7263e8ed62543bf2aa443
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