Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_proposes_a_problem_solving_strategy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_proposes_a_problem_solving_strategy with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_proposes_a_problem_solving_strategy") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
update model card
Browse files
README.md
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# Assertion: proposes a problem solving strategy
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Assertion id: `bu5__proposes_a_problem_solving_strategy` (bottom-up assertion set `bu5`).
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This classifier was trained for *EduBehaviors: Assertion-based schemas for auditable dialogue coding* and is usable through the Python package `EduBehaviors-kit`. This classifier was trained on an LLM-annotated subset of teacher utterances from the [TalkMoves Dataset](https://github.com/SumnerLab/TalkMoves). See the Datasets section below for more information.
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# Assertion: proposes a problem solving strategy
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This classifier was trained for *EduBehaviors: Assertion-based schemas for auditable dialogue coding* and is usable through the Python package `EduBehaviors-kit`. This classifier was trained on an LLM-annotated subset of teacher utterances from the [TalkMoves Dataset](https://github.com/SumnerLab/TalkMoves). See the Datasets section below for more information.
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