Create README.md

README.md

@@ -0,0 +1,38 @@
+---
+language:
+- en
+inference: false
+pipeline_tag: token-classification
+tags:
+- ner
+license: mit
+datasets:
+- conll2003
+---
+
+# ONNX version of dbmdz/bert-large-cased-finetuned-conll03-english
+
+**This model is a conversion of [dbmdz/bert-large-cased-finetuned-conll03-english](https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english) to ONNX** format using the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library.
+
+`dbmdz/bert-large-cased-finetuned-conll03-english` is designed for named-entity recognition (NER), capable of finding person, organization, and other entities in the text.
+
+## Usage
+
+Loading the model requires the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library installed.
+
+```python
+from optimum.onnxruntime import ORTModelForTokenClassification
+from transformers import AutoTokenizer, pipeline
+
+
+tokenizer = AutoTokenizer.from_pretrained("laiyer/bert-large-cased-finetuned-conll03-english-onnx")
+model = ORTModelForTokenClassification.from_pretrained("laiyer/bert-large-cased-finetuned-conll03-english-onnx")
+ner = pipeline(
+    task="ner",
+    model=model,
+    tokenizer=tokenizer,
+)
+
+ner_output = ner("My name is John Doe.")
+print(ner_output)
+```