Instructions to use nvlz/ravdess-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nvlz/ravdess-emotion-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://nvlz/ravdess-emotion-recognition") - Notebooks
- Google Colab
- Kaggle
Upload lstm_multi_norm.npy with huggingface_hub
Browse files- lstm_multi_norm.npy +3 -0
lstm_multi_norm.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:a808869d383fd8ce011e97e14d11d59644bab84527706498e0e82bafae56a711
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size 768
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