Video Classification
Keras
tensorflow
computer-vision
gesture-recognition
lstm
mediapipe
hand-tracking
deep-learning
Instructions to use a-01a/hand-gesture-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use a-01a/hand-gesture-recognition with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://a-01a/hand-gesture-recognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fff872771662c231c2b5c202324604c0adc628ca6d2fb9a0e6963c3ef5dd9dbc
- Size of remote file:
- 4.09 MB
- SHA256:
- 6bcef59674c3bb644ba8e260efae0f879bfeedb934d5499803fa9e8ed1e002a6
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