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:
- 5852a5e15d3106f34a00d3542c44f5021a7a3ba02257c4abff39c4a295f57b07
- Size of remote file:
- 106 MB
- SHA256:
- cddfd576290f5595c9310da1cef37bdd0f628dfca9376e9c2becaef90020d5ed
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