Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_contains_math_terms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_contains_math_terms with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_contains_math_terms") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download model_head.pkl from StanfordSCALE/assertion_contains_math_terms: direct link, hf CLI and curl.
- Browser
- Download file 7.01 kB
-
https://huggingface.co/StanfordSCALE/assertion_contains_math_terms/resolve/main/model_head.pkl
- Command line
-
hf download hf://StanfordSCALE/assertion_contains_math_terms/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/StanfordSCALE/assertion_contains_math_terms/resolve/main/model_head.pkl
7.01 kB
- Xet hash:
- 67417adb9ea30abd13c311154979ebd6041f7a3f6e38c437ca4db0e4961142a2
- Size of remote file:
- 7.01 kB
- SHA256:
- b3a85c211ae8ffd834679a4434dfe22e4c8efb7b16a9a5b1a2c418470f205a6e
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