Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_repeats_a_problem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_repeats_a_problem with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_repeats_a_problem") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download sentence_bert_config.json from StanfordSCALE/assertion_repeats_a_problem: direct link, hf CLI and curl.
- Browser
- Download file 241 Bytes
-
https://huggingface.co/StanfordSCALE/assertion_repeats_a_problem/resolve/main/sentence_bert_config.json
- Command line
-
hf download hf://StanfordSCALE/assertion_repeats_a_problem/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/StanfordSCALE/assertion_repeats_a_problem/resolve/main/sentence_bert_config.json
241 Bytes
| { | |
| "transformer_task": "feature-extraction", | |
| "modality_config": { | |
| "text": { | |
| "method": "forward", | |
| "method_output_name": "last_hidden_state" | |
| } | |
| }, | |
| "module_output_name": "token_embeddings" | |
| } |