Instructions to use TensorGreed/SensiGuard-PII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TensorGreed/SensiGuard-PII with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TensorGreed/SensiGuard-PII")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TensorGreed/SensiGuard-PII") model = AutoModelForTokenClassification.from_pretrained("TensorGreed/SensiGuard-PII", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TensorGreed/SensiGuard-PII: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/TensorGreed/SensiGuard-PII/resolve/main/tokenizer.json
- Command line
-
hf download hf://TensorGreed/SensiGuard-PII/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/TensorGreed/SensiGuard-PII/resolve/main/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.