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.zip from HyraXuna/Depression_text_detection: direct link, hf CLI and curl.
- Browser
- Download file 17 MB
-
https://huggingface.co/HyraXuna/Depression_text_detection/resolve/main/best_model.zip
- Command line
-
hf download hf://HyraXuna/Depression_text_detection/best_model.zip
-
curl -L -o best_model.zip https://huggingface.co/HyraXuna/Depression_text_detection/resolve/main/best_model.zip
17 MB
- Xet hash:
- aae5b680d8dfcca3ad36b242d0524e6be0ba13b017823f01b3eb55af714ad9d2
- Size of remote file:
- 17 MB
- SHA256:
- df0a45ec4f0a058f7306e2bc22ce63893f6f523a1d2ad3449d7342aa6d60dcdf
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