Instructions to use deepaksiloka/PII-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepaksiloka/PII-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deepaksiloka/PII-Detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deepaksiloka/PII-Detection") model = AutoModelForTokenClassification.from_pretrained("deepaksiloka/PII-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from deepaksiloka/PII-Detection: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/deepaksiloka/PII-Detection/resolve/main/tokenizer.json
- Command line
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hf download hf://deepaksiloka/PII-Detection/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/deepaksiloka/PII-Detection/resolve/main/tokenizer.json
711 kB
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