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 modules.json from StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem: direct link, hf CLI and curl.
- Browser
- Download file 277 Bytes
-
https://huggingface.co/StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem/resolve/main/modules.json
- Command line
-
hf download hf://StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem/modules.json
-
curl -L -o modules.json https://huggingface.co/StanfordSCALE/assertion_sentence_has_answer_to_a_math_problem/resolve/main/modules.json
277 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling" | |
| } | |
| ] |