Instructions to use Addax-Data-Science/TERRAI-NEP-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Addax-Data-Science/TERRAI-NEP-v1 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Addax-Data-Science/TERRAI-NEP-v1") - Notebooks
- Google Colab
- Kaggle
This repository contains open-source models redistributed for easy integration with AddaxAI, hosted by Addax Data Science. Each model retains its original license (see license files) and attribution. We comply with all original license terms. Users must review and comply with individual model licenses before use. See below for detailed model information including original sources, licenses, and attributions.
Developer
Alexander Merdian-Tarko
Links
Sample images
Four frames from the training data, in examples/. Credits:
examples/1.jpg: WCS Camera Traps, Wildlife Conservation Society, via LILA BC (CDLA-Permissive); sampled by TeraiNetexamples/2.jpg: WCS Camera Traps, Wildlife Conservation Society, via LILA BC (CDLA-Permissive); sampled by TeraiNetexamples/3.jpg: WCS Camera Traps, Wildlife Conservation Society, via LILA BC (CDLA-Permissive); sampled by TeraiNetexamples/4.jpg: WCS Camera Traps, Wildlife Conservation Society, via LILA BC (CDLA-Permissive); sampled by TeraiNet
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