Token Classification
Transformers
Safetensors
Korean
English
openai_privacy_filter
ner
pii
privacy
pii-masking
korean
english
finance
customer-service
security
infrastructure
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:
- d8331c44d5a4c473c7f96238ff8b41f7148e0c22ac92f76e2c71eb4d3979566e
- Size of remote file:
- 245 kB
- SHA256:
- 0481eb0a53ab6e5699c87fd53a1c855c688d3f22532edb563a815d90419040d1
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