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 model.fp16.engine from lockR/rubert-base-pii-ner-tensorrt: direct link, hf CLI and curl.
- Browser
- Download file 359 MB
-
https://huggingface.co/lockR/rubert-base-pii-ner-tensorrt/resolve/main/model.fp16.engine
- Command line
-
hf download hf://lockR/rubert-base-pii-ner-tensorrt/model.fp16.engine
-
curl -L -o model.fp16.engine https://huggingface.co/lockR/rubert-base-pii-ner-tensorrt/resolve/main/model.fp16.engine
359 MB
- Xet hash:
- c6c62899537c036e011d418e2104b645ec17a95689801e8d17bb779d69e6ab65
- Size of remote file:
- 359 MB
- SHA256:
- f4d3f4eaa72ed8543b81ef4f6acf216f95be93fe4da8c3be27c8513cb9e80b35
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