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Neurochat_MentalBERT_depression
Twna-Jane16/Neurochat_MentalBERT_depression
Neurochat_MentalBERT_depression is a machine learning model from Twna-Jane16. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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 ca…
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025
- SHA
- a7920998
Base models
Model card
From the Hugging Face model README
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")
- Type
- bert
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025