Token Classification
Transformers
Safetensors
layoutlmv3
ner
on-device
privacy
flowx
openner
cross
de-identification
Instructions to use flowxai/docformner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/docformner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/docformner")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("flowxai/docformner") model = AutoModelForTokenClassification.from_pretrained("flowxai/docformner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,892 Bytes
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"architectures": [
"LayoutLMv3ForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"coordinate_size": 128,
"dtype": "float32",
"eos_token_id": 2,
"has_relative_attention_bias": true,
"has_spatial_attention_bias": true,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-BORROWER",
"2": "I-BORROWER",
"3": "B-LENDER",
"4": "I-LENDER",
"5": "B-PROPERTY_ADDR",
"6": "I-PROPERTY_ADDR",
"7": "B-LOAN_AMOUNT",
"8": "I-LOAN_AMOUNT",
"9": "B-LTV",
"10": "I-LTV",
"11": "B-INTEREST_RATE",
"12": "I-INTEREST_RATE",
"13": "B-TERM_YEARS",
"14": "I-TERM_YEARS",
"15": "B-APP_NO",
"16": "I-APP_NO",
"17": "B-INCOME",
"18": "I-INCOME"
},
"initializer_range": 0.02,
"input_size": 224,
"intermediate_size": 3072,
"label2id": {
"B-APP_NO": 15,
"B-BORROWER": 1,
"B-INCOME": 17,
"B-INTEREST_RATE": 11,
"B-LENDER": 3,
"B-LOAN_AMOUNT": 7,
"B-LTV": 9,
"B-PROPERTY_ADDR": 5,
"B-TERM_YEARS": 13,
"I-APP_NO": 16,
"I-BORROWER": 2,
"I-INCOME": 18,
"I-INTEREST_RATE": 12,
"I-LENDER": 4,
"I-LOAN_AMOUNT": 8,
"I-LTV": 10,
"I-PROPERTY_ADDR": 6,
"I-TERM_YEARS": 14,
"O": 0
},
"layer_norm_eps": 1e-05,
"max_2d_position_embeddings": 1024,
"max_position_embeddings": 514,
"max_rel_2d_pos": 256,
"max_rel_pos": 128,
"model_type": "layoutlmv3",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"pad_token_id": 1,
"patch_size": 16,
"rel_2d_pos_bins": 64,
"rel_pos_bins": 32,
"second_input_size": 112,
"shape_size": 128,
"text_embed": true,
"transformers_version": "5.14.1",
"type_vocab_size": 1,
"use_cache": false,
"visual_embed": true,
"vocab_size": 50265
}
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