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1import { pipeline } from '@xenova/transformers';
2
3const classifier = await pipeline('text-classification', 'RyanGao/mental-roberta-depression-onnx');
4const result = await classifier('I feel very sad and hopeless');
5console.log(result);1from optimum.onnxruntime import ORTModelForSequenceClassification
2from transformers import AutoTokenizer
3
4model = ORTModelForSequenceClassification.from_pretrained("RyanGao/mental-roberta-depression-onnx")
5tokenizer = AutoTokenizer.from_pretrained("RyanGao/mental-roberta-depression-onnx")
6
7inputs = tokenizer("I feel very sad and hopeless", return_tensors="pt")
8outputs = model(**inputs)1@inproceedings{ji2022mentalbert,
2 title = {{MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare}},
3 author = {Shaoxiong Ji and Tianlin Zhang and Luna Ansari and Jie Fu and Prayag Tiwari and Erik Cambria},
4 year = {2022},
5 booktitle = {Proceedings of LREC}
6}