Instructions to use TheBgGirl/stress-detection-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBgGirl/stress-detection-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheBgGirl/stress-detection-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheBgGirl/stress-detection-distilbert") model = AutoModelForSequenceClassification.from_pretrained("TheBgGirl/stress-detection-distilbert") - Notebooks
- Google Colab
- Kaggle
TheBgGirl/stress-detection-distilbert
Binary text classifier for stress detection.
Labels
0:not_stressed1:stressed
Evaluation
- accuracy: 0.9987
- f1: 0.9974
- macro_f1: 0.9983
- macro_precision: 0.9988
- macro_recall: 0.9977
- precision: 0.9991
- recall: 0.9957
- roc_auc: 1.0000
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="TheBgGirl/stress-detection-distilbert")
classifier("i feel overwhelmed and anxious all the time")
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