Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_references_student_behavior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_references_student_behavior with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_references_student_behavior") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from StanfordSCALE/assertion_references_student_behavior: direct link, hf CLI and curl.
- Browser
- Download file 283 Bytes
-
https://huggingface.co/StanfordSCALE/assertion_references_student_behavior/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://StanfordSCALE/assertion_references_student_behavior/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/StanfordSCALE/assertion_references_student_behavior/resolve/main/config_sentence_transformers.json
283 Bytes
| { | |
| "__version__": { | |
| "pytorch": "2.6.0+cu124", | |
| "sentence_transformers": "6.0.1", | |
| "transformers": "5.17.0" | |
| }, | |
| "default_prompt_name": null, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "", | |
| "query": "" | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |