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:
- 6d02b8235428d1906ae307f95d30b21acca28cdd565ae5a8f1393be5412bcde6
- Size of remote file:
- 2.8 GB
- SHA256:
- 685b29cf27a95edd56a36b391941b26ee3979be68ce9d57ea5856bb7644bf18b
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