Add OpenNER model, card, NOTICE (Apache-2.0, FlowX.AI)

NOTICE

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+FlowX OpenNER
+Copyright 2026 FlowX.AI
+
+This product includes software and models developed at FlowX.AI (https://flowx.ai).
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use these
+files except in compliance with the License. You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0

README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: token-classification
+base_model: microsoft/layoutlmv3-base
+tags:
+  - ner
+  - on-device
+  - privacy
+  - flowx
+  - openner
+  - cross
+  - de-identification
+  - token-classification
+metrics:
+  - f1
+---
+
+# DocFormNER
+
+**DocFormNER** is a small, on-device cross NER model from the FlowX **OpenNER** family. Developed by **FlowX.AI**. Runs 100% on-premise / air-gapped, so no data leaves your boundary.
+
+## What it does
+- **Task:** token-classification
+- **Base model:** `microsoft/layoutlmv3-base`
+- **Entity types (9):** APP_NO, BORROWER, INCOME, INTEREST_RATE, LENDER, LOAN_AMOUNT, LTV, PROPERTY_ADDR, TERM_YEARS
+- **Held-out F1:** 1.0000
+- **Runtime:** CPU, Apple Silicon, one GPU, or browser/edge via ONNX (INT8). ~100-160 ms/doc on CPU.
+
+## Why a small model
+Fine-tuned encoders match or beat frontier LLMs on structured, convention-bound extraction, at a fraction of the latency and cost, with **zero data egress**. Identifiers are validated by checksum (IBAN mod-97, card Luhn, ISIN/LEI, container ISO-6346, VIN, national IDs), a correctness guarantee general LLMs lack. See the FlowX OpenNER benchmark for measured results.
+
+> **Document-AI preview.** DocFormNER is a **LayoutLMv3** model that reads text + 2D layout + the page image, so it works on scanned / photographed forms (mortgage packets, bills of lading, ACORD forms). This checkpoint is trained on **synthetic rendered forms** as a walking skeleton; for production, fine-tune on real OCR'd documents (FUNSD / DocLayNet / CORD or your own scans) with the same `{words, bboxes, labels, image}` shape.
+
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+tok = AutoTokenizer.from_pretrained("flowxai/docformner")
+model = AutoModelForTokenClassification.from_pretrained("flowxai/docformner")
+```
+
+## License & attribution
+Licensed under the **Apache License 2.0**. Copyright 2026 **FlowX.AI** (https://flowx.ai). See the `NOTICE` file. Trained on synthetic, checksum-validated data.
+
+_Part of the FlowX OpenNER model family. Synthetic-data F1 reflects an in-distribution synthetic distribution; validate on real documents before production use._

config.json

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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
+}

metrics.json

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+{
+  "test_loss": 7.649723556824028e-05,
+  "test_precision": 1.0,
+  "test_recall": 1.0,
+  "test_f1": 1.0,
+  "test_accuracy": 1.0,
+  "test_runtime": 64.0196,
+  "test_samples_per_second": 15.62,
+  "test_steps_per_second": 1.953,
+  "epoch": 4.0
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4e5c7d23ea9f7dff640f4dd922dd0ff2a803c31026524fbea4d0381cd139b36f
+size 503755044

processor_config.json

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+{
+  "image_processor": {
+    "apply_ocr": false,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_processor_type": "LayoutLMv3ImageProcessor",
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "resample": 2,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "height": 224,
+      "width": 224
+    },
+    "tesseract_config": ""
+  },
+  "processor_class": "LayoutLMv3Processor"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "apply_ocr": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "cls_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "eos_token": "</s>",
+  "errors": "replace",
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "only_label_first_subword": true,
+  "pad_token": "<pad>",
+  "pad_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "pad_token_label": -100,
+  "processor_class": "LayoutLMv3Processor",
+  "sep_token": "</s>",
+  "sep_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "tokenizer_class": "LayoutLMv3Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:79e8cf32e3fc6ee1bac025bcfdacecadc4ef37a171a5899de2e652de10d7c9c8
+size 5201