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
publish assertion encoder with model card
Browse files- 1_Pooling/config.json +5 -0
- config.json +25 -0
- config_sentence_transformers.json +14 -0
- config_setfit.json +4 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +14 -0
- sentence_bert_config.json +10 -0
- tokenizer.json +0 -0
- tokenizer_config.json +19 -0
1_Pooling/config.json
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{
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"embedding_dimension": 768,
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"pooling_mode": "mean",
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"include_prompt": true
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}
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config.json
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{
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"architectures": [
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"MPNetModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "mpnet",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": true,
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"transformers_version": "5.17.0",
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"use_cache": false,
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"vocab_size": 30527
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"pytorch": "2.6.0+cu124",
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"sentence_transformers": "6.0.1",
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"transformers": "5.17.0"
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},
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"default_prompt_name": null,
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"model_type": "SentenceTransformer",
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"prompts": {
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"document": "",
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"query": ""
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},
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"similarity_fn_name": "cosine"
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}
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config_setfit.json
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{
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"normalize_embeddings": false,
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"labels": null
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a0d26eac5141eaabe9859393385dc411279f9cabfdaa220e0bb23dcb103fbae
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size 437967672
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model_head.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf3db447d511aec919e6d5afa850fcf6198a8b360af283cc3fd8dbc2b743337c
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size 7007
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.base.modules.transformer.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling"
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}
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]
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sentence_bert_config.json
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{
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"transformer_task": "feature-extraction",
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"modality_config": {
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"text": {
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"method": "forward",
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"method_output_name": "last_hidden_state"
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}
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},
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"module_output_name": "token_embeddings"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<s>",
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"cls_token": "<s>",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"eos_token": "</s>",
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"is_local": false,
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "MPNetTokenizer",
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"unk_token": "[UNK]"
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}
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