Token Classification
Transformers
Safetensors
Russian
English
bert
ner
pii
secret-detection
credentials
masking
russian
Instructions to use fef2/ner_rus_bert-secret_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fef2/ner_rus_bert-secret_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fef2/ner_rus_bert-secret_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fef2/ner_rus_bert-secret_detection") model = AutoModelForTokenClassification.from_pretrained("fef2/ner_rus_bert-secret_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ce7296b33f2758f0471e99611c40a45e6086c2e680791c04c102d80854ca19f
- Size of remote file:
- 709 MB
- SHA256:
- 6a2c875d02398554ec69384f489a0bf4fe3505fc347c6cdd3385d4fd31ef21a4
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