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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Model tree for Twna-Jane16/Neurochat_MentalBERT_depression
Base model
mental/mental-bert-base-uncased