Instructions to use benkimz/emotions-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use benkimz/emotions-model with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("benkimz/emotions-model") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from benkimz/emotions-model: direct link, hf CLI and curl.
- Browser
- Download file 13.3 MB
-
https://huggingface.co/benkimz/emotions-model/resolve/main/saved_model.pb
- Command line
-
hf download hf://benkimz/emotions-model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/benkimz/emotions-model/resolve/main/saved_model.pb
13.3 MB
- Xet hash:
- f68aa4ee7448c164e5008506efd861a5af6f15cb887e8df8f3090108dd996bc5
- Size of remote file:
- 13.3 MB
- SHA256:
- 8bd7e82fa85cf29884ce3d86735296d00baae00f74c2345850ca732b148d7a84
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