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:
- 2b0f7504a130894ebc9495f27aa49c8b9425547a0b14a7a565aab8bf3fc925d6
- Size of remote file:
- 119 kB
- SHA256:
- a5e0badc81ac4a9e613f34875a65e70a57ea37b3de4fad748cf7f9f89c40c646
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