Token Classification
TensorRT
ONNX
Russian
bert
cuda
cuda-graphs
fp16
pii
ner
named-entity-recognition
russian
Eval Results (legacy)
Instructions to use lockR/rubert-base-pii-ner-tensorrt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use lockR/rubert-base-pii-ner-tensorrt with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download runtime_config.json from lockR/rubert-base-pii-ner-tensorrt: direct link, hf CLI and curl.
- Browser
- Download file 241 Bytes
-
https://huggingface.co/lockR/rubert-base-pii-ner-tensorrt/resolve/main/runtime_config.json
- Command line
-
hf download hf://lockR/rubert-base-pii-ner-tensorrt/runtime_config.json
-
curl -L -o runtime_config.json https://huggingface.co/lockR/rubert-base-pii-ner-tensorrt/resolve/main/runtime_config.json
241 Bytes
| { | |
| "default_backend": "trt-graph", | |
| "source_model": "redmadrobot-rnd/rubert-base-pii-ner", | |
| "source_revision": "c802e8cd26f85d1cf920973ea6f83965a0618d63", | |
| "max_length": 512, | |
| "stride": 128, | |
| "min_confidence": 0.3, | |
| "batch_size": 1 | |
| } | |