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: 871 Bytes
479068c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"0": "AA_AADE_OTHER",
"1": "AA_Certificate_of_Current_Image_of_Entity/Business_Members/Partners",
"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",
"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"
} |