Text Classification
Transformers
Safetensors
English
bert
pii
privacy
routing
knowledge-distillation
tinybert
traffic-control
Eval Results (legacy)
text-embeddings-inference
Instructions to use pinialt/bert-tiny-pii-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinialt/bert-tiny-pii-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pinialt/bert-tiny-pii-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pinialt/bert-tiny-pii-router") model = AutoModelForSequenceClassification.from_pretrained("pinialt/bert-tiny-pii-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
Browse files- config.json +105 -0
- model.safetensors +3 -0
config.json
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"dtype": "float32",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"id2label": {
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"0": "ACCOUNTNAME",
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"1": "BIC",
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"2": "BITCOINADDRESS",
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"3": "CITY",
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"4": "COMPANY_NAME",
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"5": "COUNTY",
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"6": "CREDITCARDCVV",
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"7": "CREDITCARDNUMBER",
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"8": "DATE",
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"9": "EMAIL",
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"10": "ETHEREUMADDRESS",
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"11": "FIRSTNAME",
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"12": "IBAN",
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"13": "IP",
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"14": "IPV4",
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"15": "IPV6",
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"16": "JOBAREA",
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"17": "JOBDESCRIPTOR",
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"18": "JOBTITLE",
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"19": "LASTNAME",
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"20": "LITECOINADDRESS",
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"21": "MAC",
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"22": "MASKEDNUMBER",
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"23": "MIDDLENAME",
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"24": "PHONEIMEI",
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"25": "PHONE_NUMBER",
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"26": "SECONDARYADDRESS",
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"27": "SSN",
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"28": "STATE",
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"29": "STREET",
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"30": "STREETADDRESS",
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"31": "TIME",
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"32": "URL",
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"33": "USERAGENT",
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"34": "USERNAME",
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"35": "VEHICLEVIN",
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"36": "VEHICLEVRM",
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"37": "ZIPCODE"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"label2id": {
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"ACCOUNTNAME": 0,
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"BIC": 1,
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"BITCOINADDRESS": 2,
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"CITY": 3,
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"COMPANY_NAME": 4,
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"COUNTY": 5,
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"CREDITCARDCVV": 6,
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"CREDITCARDNUMBER": 7,
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"DATE": 8,
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"EMAIL": 9,
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"ETHEREUMADDRESS": 10,
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"FIRSTNAME": 11,
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"IBAN": 12,
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"IP": 13,
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"IPV4": 14,
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"IPV6": 15,
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"JOBAREA": 16,
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"JOBDESCRIPTOR": 17,
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"JOBTITLE": 18,
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"LASTNAME": 19,
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"LITECOINADDRESS": 20,
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"MAC": 21,
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"MASKEDNUMBER": 22,
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"MIDDLENAME": 23,
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"PHONEIMEI": 24,
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"PHONE_NUMBER": 25,
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"SECONDARYADDRESS": 26,
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"SSN": 27,
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"STATE": 28,
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"STREET": 29,
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"STREETADDRESS": 30,
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"TIME": 31,
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"URL": 32,
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"USERAGENT": 33,
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"USERNAME": 34,
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"VEHICLEVIN": 35,
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"VEHICLEVRM": 36,
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"ZIPCODE": 37
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 4,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"transformers_version": "4.57.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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 sha256:777ccf971be668b7f4ed86d161a47f7ee7027ad10acad5bc783dc9c9c47cb75f
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size 44694664
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