Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_sentence_has_time_reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_sentence_has_time_reference with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_sentence_has_time_reference") - Notebooks
- Google Colab
- Kaggle
Download config.json from StanfordSCALE/assertion_sentence_has_time_reference: direct link, hf CLI and curl.
- Browser
- Download file 598 Bytes
-
https://huggingface.co/StanfordSCALE/assertion_sentence_has_time_reference/resolve/main/config.json
- Command line
-
hf download hf://StanfordSCALE/assertion_sentence_has_time_reference/config.json
-
curl -L -o config.json https://huggingface.co/StanfordSCALE/assertion_sentence_has_time_reference/resolve/main/config.json
598 Bytes
| { | |
| "architectures": [ | |
| "MPNetModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "mpnet", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "relative_attention_num_buckets": 32, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.17.0", | |
| "use_cache": false, | |
| "vocab_size": 30527 | |
| } | |