Instructions to use NatLee/openpose-keras-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NatLee/openpose-keras-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://NatLee/openpose-keras-model") - Notebooks
- Google Colab
- Kaggle
Upload weights.h5
Browse files- weights.h5 +3 -0
weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:58df0774728f1a4f078139c2b50a23d07ba762af334e9b15f1ba37e17996abd8
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size 209602136
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