Instructions to use credentek/TenaliAI-FinTech-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use credentek/TenaliAI-FinTech-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="credentek/TenaliAI-FinTech-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("credentek/TenaliAI-FinTech-v1") model = AutoModelForSequenceClassification.from_pretrained("credentek/TenaliAI-FinTech-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "bert-base-uncased", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "account_statement", | |
| "1": "add_beneficiary", | |
| "2": "balance_enquiry", | |
| "3": "beneficiary_details", | |
| "4": "bill_payment", | |
| "5": "block_card", | |
| "6": "bulk_payments", | |
| "7": "bulk_payments_status", | |
| "8": "change_contact_info", | |
| "9": "debit_card_details", | |
| "10": "delete_beneficiary", | |
| "11": "fd_details", | |
| "12": "fd_rate", | |
| "13": "fd_rate_large_amount", | |
| "14": "funds_transfer", | |
| "15": "funds_transfer_other_bank", | |
| "16": "funds_transfer_own_account", | |
| "17": "funds_transfer_status", | |
| "18": "funds_transfer_third_party", | |
| "19": "gst_payment", | |
| "20": "investment_details", | |
| "21": "list_accounts", | |
| "22": "list_beneficiary", | |
| "23": "list_billers", | |
| "24": "list_fd", | |
| "25": "list_investments", | |
| "26": "list_loans", | |
| "27": "loan_details", | |
| "28": "nrv_details", | |
| "29": "open_account", | |
| "30": "pending_authorization", | |
| "31": "pin_change", | |
| "32": "raise_request", | |
| "33": "rd_details", | |
| "34": "rd_rate", | |
| "35": "request_status", | |
| "36": "saving_interest_rate", | |
| "37": "send_money_abroad", | |
| "38": "ss_fd_rate", | |
| "39": "ss_rd_rate", | |
| "40": "transaction_history", | |
| "41": "transaction_limit", | |
| "42": "update_beneficiary", | |
| "43": "zzzLABEL_43", | |
| "44": "zzzLABEL_44", | |
| "45": "zzzLABEL_45", | |
| "46": "zzzLABEL_46", | |
| "47": "zzzLABEL_47", | |
| "48": "zzzLABEL_48", | |
| "49": "zzzLABEL_49" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "account_statement": 0, | |
| "add_beneficiary": 1, | |
| "balance_enquiry": 2, | |
| "beneficiary_details": 3, | |
| "bill_payment": 4, | |
| "block_card": 5, | |
| "bulk_payments": 6, | |
| "bulk_payments_status": 7, | |
| "change_contact_info": 8, | |
| "debit_card_details": 9, | |
| "delete_beneficiary": 10, | |
| "fd_details": 11, | |
| "fd_rate": 12, | |
| "fd_rate_large_amount": 13, | |
| "funds_transfer": 14, | |
| "funds_transfer_other_bank": 15, | |
| "funds_transfer_own_account": 16, | |
| "funds_transfer_status": 17, | |
| "funds_transfer_third_party": 18, | |
| "gst_payment": 19, | |
| "investment_details": 20, | |
| "list_accounts": 21, | |
| "list_beneficiary": 22, | |
| "list_billers": 23, | |
| "list_fd": 24, | |
| "list_investments": 25, | |
| "list_loans": 26, | |
| "loan_details": 27, | |
| "nrv_details": 28, | |
| "open_account": 29, | |
| "pending_authorization": 30, | |
| "pin_change": 31, | |
| "raise_request": 32, | |
| "rd_details": 33, | |
| "rd_rate": 34, | |
| "request_status": 35, | |
| "saving_interest_rate": 36, | |
| "send_money_abroad": 37, | |
| "ss_fd_rate": 38, | |
| "ss_rd_rate": 39, | |
| "transaction_history": 40, | |
| "transaction_limit": 41, | |
| "update_beneficiary": 42, | |
| "zzzLABEL_43": 43, | |
| "zzzLABEL_44": 44, | |
| "zzzLABEL_45": 45, | |
| "zzzLABEL_46": 46, | |
| "zzzLABEL_47": 47, | |
| "zzzLABEL_48": 48, | |
| "zzzLABEL_49": 49 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |