Text Classification
Transformers
English
reflection
cross-encoder
motivational-interviewing
conversation-analysis
roberta
Instructions to use Khriis/PAIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Khriis/PAIR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Khriis/PAIR")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Khriis/PAIR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update handler.py
Verified signature498c13f -
Update handler.py
Verified signaturea985310 -
Update handler.py
Verified signature017ca71 -
Update handler.py
Verified signaturec28e9f5 -
Update handler.py
Verified signature9c8c8ef
-
Fixed handler names
0d62938 -
Added handler
d37eeb3
-
Upload cross_scorer_model.py
Verified signature38ce35c -
Uploaded README
Verified signature7e05c76 -
Upload reflection_scorer_weight.pt
Verified signaturee7edd0e -
initial commit
Verified signature5ec0195