Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem/resolve/main/tokenizer.json
- Command line
-
hf download hf://StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.