PyTorch
Safetensors
bert

Model Card for MentalBERT Depression Detection

Model Details

Model Description

This MentalBERT-based model is fine-tuned to detect signs of depression from text input.
It leverages the pretrained mental/mental-bert-base-uncased model and has been trained on multiple mental health datasets.
It can assist in early screening of depressive symptoms through conversational AI applications.

Load the Model

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Twna-Jane16/Neurochat_MentalBERT_depression")
model = AutoModelForSequenceClassification.from_pretrained("Twna-Jane16/Neurochat_MentalBERT_depression")
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