Instructions to use Alesteba/NeRF_ficus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Alesteba/NeRF_ficus with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Alesteba/NeRF_ficus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56f266dddb3a6c8b2087eea01730a6a90b2352b968280fb7dd8c370ce2d74a7c
- Size of remote file:
- 22.6 kB
- SHA256:
- d47340c288fe43f59abaf4e023470254c2eb01966696c84f6c55c8f66850a8b7
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