Text Classification
Transformers
PyTorch
Safetensors
English
evt_classifier
feature-extraction
psychology
expectancy-value-theory
psychometrics
test-item-classification
educational-psychology
motivation
survey-instruments
content-analysis
custom_code
Eval Results (legacy)
Instructions to use christiqn/mpnet-EVT-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christiqn/mpnet-EVT-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="christiqn/mpnet-EVT-classifier", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("christiqn/mpnet-EVT-classifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle