Text Classification
Transformers
Safetensors
Greek
bert
greek
document-classification
page-classification
nlp
contrastive-learning
text-embeddings-inference
Instructions to use Archeiothiki/KYC_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archeiothiki/KYC_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Archeiothiki/KYC_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Archeiothiki/KYC_classification") model = AutoModelForSequenceClassification.from_pretrained("Archeiothiki/KYC_classification") - Notebooks
- Google Colab
- Kaggle
File size: 2,559 Bytes
479068c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | {
"_name_or_path": "/home/kgz/Arch-TextClassification/scripts/../inference/contrastive_learning/l3869_page_classification/26_01_2026_15_00_12",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "AA_AADE_OTHER",
"1": "AA_Certificate_of_Current_Image_of_Entity/Business_Members/Partners",
"10": "AA_NEW_POLICE_IDENTITY_CARD",
"11": "AA_Natural_Person_Information_Form/CERTIFICATE_OF_OWNERSHIP/National_Contact_Register",
"12": "AA_Pension_Certificate",
"13": "AA_Personal_Income_Tax_(FEP)",
"14": "AA_SOLEMN_DECLARATION",
"15": "AA_TELEPHONY",
"16": "BB_Other_Documents",
"17": "Other",
"2": "AA_ENERGY",
"3": "AA_Employer's_Certificate/Payroll",
"4": "AA_ID_Card",
"5": "AA_INCOME_TAX_RETURN_-_E1",
"6": "AA_INCOME_TAX_RETURN_OF_LEGAL_PERSONS_AND_LEGAL_ENTITIES_-_N",
"7": "AA_LEGAL_ENTITY_MINUTES_OF_THE_GENERAL_ASSEMBLY/SPECIAL/BOARD_OF_DIRECTORS",
"8": "AA_LEGAL_ENT_ARTICLES_OF_ASSOCIATION/AMENDMENT",
"9": "AA_LEGAL_ENT_CERTIFICATE/ANNOUNCEMENT_OF_THE_GENERAL_COMMERCIAL_REGISTRY"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"AA_AADE_OTHER": 0,
"AA_Certificate_of_Current_Image_of_Entity/Business_Members/Partners": 1,
"AA_ENERGY": 2,
"AA_Employer's_Certificate/Payroll": 3,
"AA_ID_Card": 4,
"AA_INCOME_TAX_RETURN_-_E1": 5,
"AA_INCOME_TAX_RETURN_OF_LEGAL_PERSONS_AND_LEGAL_ENTITIES_-_N": 6,
"AA_LEGAL_ENTITY_MINUTES_OF_THE_GENERAL_ASSEMBLY/SPECIAL/BOARD_OF_DIRECTORS": 7,
"AA_LEGAL_ENT_ARTICLES_OF_ASSOCIATION/AMENDMENT": 8,
"AA_LEGAL_ENT_CERTIFICATE/ANNOUNCEMENT_OF_THE_GENERAL_COMMERCIAL_REGISTRY": 9,
"AA_NEW_POLICE_IDENTITY_CARD": 10,
"AA_Natural_Person_Information_Form/CERTIFICATE_OF_OWNERSHIP/National_Contact_Register": 11,
"AA_Pension_Certificate": 12,
"AA_Personal_Income_Tax_(FEP)": 13,
"AA_SOLEMN_DECLARATION": 14,
"AA_TELEPHONY": 15,
"BB_Other_Documents": 16,
"Other": 17
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 6,
"output_past": true,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 35000
}
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