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

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

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: FacebookAI/xlm-roberta-base
+language:
+  - en
+  - ro
+  - bg
+  - hu
+  - sl
+  - hr
+  - de
+  - it
+  - fr
+tags:
+  - ner
+  - on-device
+  - privacy
+  - flowx
+  - openner
+  - cross
+  - de-identification
+  - token-classification
+metrics:
+  - f1
+---
+
+# PiiGuard
+
+**PiiGuard** 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:** `FacebookAI/xlm-roberta-base`
+- **Entity types (7):** CARD, DATE, EMAIL, IBAN, NATIONAL_ID, PERSON, PHONE
+- **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.
+
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+tok = AutoTokenizer.from_pretrained("flowxai/piiguard")
+model = AutoModelForTokenClassification.from_pretrained("flowxai/piiguard")
+```
+
+## 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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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-PERSON",
+    "2": "I-PERSON",
+    "3": "B-EMAIL",
+    "4": "I-EMAIL",
+    "5": "B-PHONE",
+    "6": "I-PHONE",
+    "7": "B-NATIONAL_ID",
+    "8": "I-NATIONAL_ID",
+    "9": "B-IBAN",
+    "10": "I-IBAN",
+    "11": "B-CARD",
+    "12": "I-CARD",
+    "13": "B-DATE",
+    "14": "I-DATE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "B-CARD": 11,
+    "B-DATE": 13,
+    "B-EMAIL": 3,
+    "B-IBAN": 9,
+    "B-NATIONAL_ID": 7,
+    "B-PERSON": 1,
+    "B-PHONE": 5,
+    "I-CARD": 12,
+    "I-DATE": 14,
+    "I-EMAIL": 4,
+    "I-IBAN": 10,
+    "I-NATIONAL_ID": 8,
+    "I-PERSON": 2,
+    "I-PHONE": 6,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.14.1",
+  "type_vocab_size": 1,
+  "use_cache": false,
+  "vocab_size": 250002
+}

metrics.json

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+{
+  "test_loss": 1.168364815384848e-05,
+  "test_precision": 1.0,
+  "test_recall": 1.0,
+  "test_f1": 1.0,
+  "test_accuracy": 1.0,
+  "test_runtime": 4.9532,
+  "test_samples_per_second": 1211.339,
+  "test_steps_per_second": 37.955,
+  "epoch": 3.0
+}

model.safetensors

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tokenizer.json

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tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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