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:
- 65b32715ab6a6a1f35a9661a64dc5305d3d78f751f07c63865e874121852bf86
- Size of remote file:
- 55 Bytes
- SHA256:
- 9274416b339ba699fee34ab9b2b77f3c5c14e148b09809e217258695dac11186
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