Text Classification
Transformers
Safetensors
PyTorch
English
bert
motivational-interviewing
mental-health
counseling
psychology
Eval Results (legacy)
Instructions to use RyanDDD/bert-motivational-interviewing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanDDD/bert-motivational-interviewing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RyanDDD/bert-motivational-interviewing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RyanDDD/bert-motivational-interviewing") model = AutoModelForSequenceClassification.from_pretrained("RyanDDD/bert-motivational-interviewing") - Notebooks
- Google Colab
- Kaggle
Ctrl+K