StefanStefan/bert-base-NER-onnx
By StefanStefan · ↓ 0 · ♥ 0 · Updated 2025-03-26
What's in this repo
This page lists the files in StefanStefan/bert-base-NER-onnx, including model.onnx.
- 1 ONNX models (.onnx files)
- 7 files, including 3 .json, 1 .md, 1 .onnx, 1 .txt
- Last updated 2025-03-26
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
# bert-base-NER-onnx
This model is a ONNX-exported version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER).
## Model description
BERT-NER model converted to ONNX format
## Usage
This model can be used with ONNX Runtime for inference.
```python
import numpy as np
import onnxruntime as ort
from transformers import AutoTokenizer
# Load tokenizer and ONNX session
tokenizer = AutoTokenizer.from_pretrained("StefanStefan/bert-base-NER-onnx")
session = ort.InferenceSession("StefanStefan/bert-base-NER-onnx/model.onnx")
# Prepare input
text = "Hello, my name is Wolfgang and I live in Berlin"
inputs = tokenizer(text, return_tensors="np")
# Run inference
ort_inputs = {
'input_ids': inputs['input_ids'].astype(np.int64),
'attention_mask': inputs['attention_mask'].astype(np.int64),
'token_type_ids': inputs['token_type_ids'].astype(np.int64)
}
ort_outputs = session.run(None, ort_inputs)
```
Files (7)
.gitattributes
README.md
model.onnx
ONNX
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.txt
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