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
| precision recall f1-score support | |
| AA_AADE_OTHER 0.89 0.89 0.89 9 | |
| AA_Certificate_of_Current_Image_of_Entity/Business_Members/Partners 1.00 1.00 1.00 10 | |
| AA_ENERGY 0.92 0.89 0.91 27 | |
| AA_Employer's_Certificate/Payroll 0.86 0.97 0.92 39 | |
| AA_ID_Card 1.00 0.99 1.00 190 | |
| AA_INCOME_TAX_RETURN_-_E1 0.92 0.86 0.89 77 | |
| AA_INCOME_TAX_RETURN_OF_LEGAL_PERSONS_AND_LEGAL_ENTITIES_-_N 1.00 1.00 1.00 8 | |
| AA_LEGAL_ENTITY_MINUTES_OF_THE_GENERAL_ASSEMBLY/SPECIAL/BOARD_OF_DIRECTORS 1.00 1.00 1.00 7 | |
| AA_LEGAL_ENT_ARTICLES_OF_ASSOCIATION/AMENDMENT 0.80 1.00 0.89 8 | |
| AA_LEGAL_ENT_CERTIFICATE/ANNOUNCEMENT_OF_THE_GENERAL_COMMERCIAL_REGISTRY 0.71 0.88 0.79 17 | |
| AA_NEW_POLICE_IDENTITY_CARD 0.96 1.00 0.98 26 | |
| AA_Natural_Person_Information_Form/CERTIFICATE_OF_OWNERSHIP/National_Contact_Register 0.90 0.93 0.92 30 | |
| AA_Pension_Certificate 0.92 0.95 0.93 74 | |
| AA_Personal_Income_Tax_(FEP) 1.00 0.94 0.97 147 | |
| AA_SOLEMN_DECLARATION 0.80 0.89 0.84 9 | |
| AA_TELEPHONY 0.97 0.92 0.94 65 | |
| BB_Other_Documents 0.82 0.64 0.72 22 | |
| Other 0.94 0.95 0.95 571 | |
| accuracy 0.94 1336 | |
| macro avg 0.91 0.93 0.92 1336 | |
| weighted avg 0.95 0.94 0.94 1336 | |