Instructions to use adarshcod30/openforensics-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adarshcod30/openforensics-ensemble 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://adarshcod30/openforensics-ensemble") - Notebooks
- Google Colab
- Kaggle
Download model.keras from adarshcod30/openforensics-ensemble: direct link, hf CLI and curl.
- Browser
- Download file 183 MB
-
https://huggingface.co/adarshcod30/openforensics-ensemble/resolve/main/model.keras
- Command line
-
hf download hf://adarshcod30/openforensics-ensemble/model.keras
-
curl -L -o model.keras https://huggingface.co/adarshcod30/openforensics-ensemble/resolve/main/model.keras
183 MB
- Xet hash:
- 36d85103b7989bfb1ac37095caba2a9e5e508ba281c5c191338b268564e93cda
- Size of remote file:
- 183 MB
- SHA256:
- f0ebdc9881f718bd83ddeff981a4f9c7fdcb73aef9e817019f0ef6e2bec8a337
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