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
File size: 322 Bytes
73be581 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"backend": "tokenizers",
"cls_token": "[CLS]",
"do_lower_case": false,
"is_local": false,
"mask_token": "[MASK]",
"model_max_length": 512,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "[UNK]"
} |