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 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)

LLM Guard

Anonymize scanner

Community

Join our Slack to give us feedback, connect with the maintainers and fellow users, ask questions, or engage in discussions about LLM security!

protectai/bert-large-cased-finetuned-conll03-english-onnx

ONNX version of dbmdz/bert-large-cased-finetuned-conll03-english

Usage

LLM Guard

Community

protectai/
bert-large-cased-finetuned-conll03-english-onnx