Download config.json from JACA369/sensitivity-scanner-v6: direct link, hf CLI and curl.
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- Download file 2.25 kB
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https://huggingface.co/JACA369/sensitivity-scanner-v6/resolve/main/config.json
- Command line
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hf download hf://JACA369/sensitivity-scanner-v6/config.json
-
curl -L -o config.json https://huggingface.co/JACA369/sensitivity-scanner-v6/resolve/main/config.json
2.25 kB
| { | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "dtype": "float16", | |
| "eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "layer_norm_eps": 1e-07, | |
| "legacy": true, | |
| "max_position_embeddings": 512, | |
| "max_relative_positions": -1, | |
| "model_type": "deberta-v2", | |
| "norm_rel_ebd": "layer_norm", | |
| "num_attention_heads": 6, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_dropout": 0.0, | |
| "pooler_hidden_act": "gelu", | |
| "pooler_hidden_size": 384, | |
| "pos_att_type": [ | |
| "p2c", | |
| "c2p" | |
| ], | |
| "position_biased_input": false, | |
| "position_buckets": 256, | |
| "relative_attention": true, | |
| "share_att_key": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.19.0", | |
| "type_vocab_size": 0, | |
| "vocab_size": 128011, | |
| "architectures": [ | |
| "DebertaV2Model" | |
| ], | |
| "gliner2": { | |
| "description": "Classification path of finetune/out/small-ft-v6/best: encoder, hidden state at each [L] label marker, classifier MLP, one logit per label.", | |
| "special_tokens": [ | |
| "[SEP_STRUCT]", | |
| "[SEP_TEXT]", | |
| "[P]", | |
| "[C]", | |
| "[E]", | |
| "[R]", | |
| "[L]", | |
| "[EXAMPLE]", | |
| "[OUTPUT]", | |
| "[DESCRIPTION]" | |
| ], | |
| "max_len": 512, | |
| "temperature": 1.0, | |
| "inputs": "input_ids, attention_mask, marker_positions (index of each [L] token)", | |
| "output": "logits (batch, markers); softmax within each question's markers", | |
| "labels": { | |
| "medical": "Health, medical, or mental-health details about a specific person", | |
| "student_records": "Grades, conduct, advising, accommodations, or other FERPA records about a named student", | |
| "id_numbers": "Social Security, passport, driver's license, visa, or other ID numbers", | |
| "financial": "Bank accounts, card numbers, salaries, income, or payroll for a specific person", | |
| "credentials": "Real passwords, API keys, private keys, or login secrets", | |
| "legal_hr": "Legal, HR, disciplinary, harassment, criminal, or immigration matters about a person", | |
| "none": "None of these: general, public, aggregate, fictional, redacted, or placeholder content" | |
| }, | |
| "source": "finetune/out/small-ft-v6/best" | |
| } | |
| } |