Instructions to use HyraXuna/Depression_text_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use HyraXuna/Depression_text_detection 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("HyraXuna/Depression_text_detection") - Notebooks
- Google Colab
- Kaggle
Download best_model/saved_model.pb from HyraXuna/Depression_text_detection: direct link, hf CLI and curl.
- Browser
- Download file 4.2 MB
-
https://huggingface.co/HyraXuna/Depression_text_detection/resolve/main/best_model/saved_model.pb
- Command line
-
hf download hf://HyraXuna/Depression_text_detection/best_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/HyraXuna/Depression_text_detection/resolve/main/best_model/saved_model.pb
4.2 MB
- Xet hash:
- 791b5dae8cdf2b9200cd293d35dbc3194e0cce5e3d83ffb12e5a6a0aa3bfd706
- Size of remote file:
- 4.2 MB
- SHA256:
- 2dd7a7d524f6b529c90b07203fb9663171799bc4fa10fd8ca96a239f23602a42
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