metadata
library_name: onnx
tags:
- distilbert
- ner
- named-entity-recognition
- token-classification
- conll2003
- onnx
- inference4j
license: apache-2.0
pipeline_tag: token-classification
DistilBERT NER — ONNX
ONNX export of dslim/distilbert-NER, a DistilBERT model fine-tuned on CoNLL-2003 for Named Entity Recognition. Identifies persons, organizations, locations, and miscellaneous entities in text using IOB2 tagging.
Mirrored for use with inference4j, an inference-only AI library for Java.
Original Source
- Repository: dslim (ONNX by onnx-community)
- License: apache-2.0
Usage with inference4j
try (BertNerRecognizer ner = BertNerRecognizer.builder()
.modelId("inference4j/distilbert-NER")
.build()) {
List<NamedEntity> entities = ner.recognize("John works at Google in London.");
for (NamedEntity e : entities) {
System.out.printf("%s (%s)%n", e.text(), e.label());
}
// John (PER)
// Google (ORG)
// London (LOC)
}
Model Details
| Property | Value |
|---|---|
| Architecture | DistilBERT (6 layers, 768 hidden, 66M params) |
| Task | Named Entity Recognition (IOB2 tagging) |
| Labels | O, B-PER, I-PER, B-ORG, I-ORG, B-LOC, I-LOC, B-MISC, I-MISC |
| Training data | CoNLL-2003 |
| F1 score | 92.17 |
| Max sequence length | 512 |
| Tokenizer | WordPiece (cased) |
| Original framework | PyTorch (HuggingFace Transformers) |
License
This model is licensed under the Apache License 2.0. Original model by dslim, ONNX export by onnx-community.