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
File size: 284 Bytes
bc39933 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"backend": "tokenizers",
"eos_token": "<|endoftext|>",
"is_local": false,
"local_files_only": false,
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 128000,
"pad_token": "<|endoftext|>",
"tokenizer_class": "TokenizersBackend"
}
|