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:
- 208f05bad5edc7fc95ec9bcd952d19cf0ab2a636bae971bf4f9dd9b0364e4e39
- Size of remote file:
- 299 kB
- SHA256:
- 29f96e796014d98256ab11cbf46850dd991e6d56ccaec83ffabe76c772ce65d1
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