Instructions to use norapfr/mindCheck_depression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use norapfr/mindCheck_depression with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://norapfr/mindCheck_depression") - Notebooks
- Google Colab
- Kaggle
Download depression_model.tflite from norapfr/mindCheck_depression: direct link, hf CLI and curl.
- Browser
- Download file 123 kB
-
https://huggingface.co/norapfr/mindCheck_depression/resolve/main/depression_model.tflite
- Command line
-
hf download hf://norapfr/mindCheck_depression/depression_model.tflite
-
curl -L -o depression_model.tflite https://huggingface.co/norapfr/mindCheck_depression/resolve/main/depression_model.tflite
123 kB
- Xet hash:
- 7a2db06b663c429daab4c94ffe5d969a7beb39ac85b30c5c8c0b431dba992ac6
- Size of remote file:
- 123 kB
- SHA256:
- d7904870b116980a2cf53004d05e5d77196af97e15c818a407907d5f0c61e123
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