Token Classification
Transformers
Safetensors
Korean
English
openai_privacy_filter
ner
pii
privacy
pii-masking
korean
finance
bioes
viterbi
mixture-of-experts
Instructions to use BCCard/MoAI-Privacy-Filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BCCard/MoAI-Privacy-Filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BCCard/MoAI-Privacy-Filter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BCCard/MoAI-Privacy-Filter") model = AutoModelForTokenClassification.from_pretrained("BCCard/MoAI-Privacy-Filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0284b68f892902394e87631e0095e9f5747b5e3174a6de2d7c3e52139762b477
- Size of remote file:
- 2.8 GB
- SHA256:
- 9beec7575336b7c05ee59d7da9dfd25027b241ae5507e1ac4f7a04d7a10d83cb
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