Instructions to use TensorGreed/brewslm-sensitive-data-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TensorGreed/brewslm-sensitive-data-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TensorGreed/brewslm-sensitive-data-tagger")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TensorGreed/brewslm-sensitive-data-tagger") model = AutoModelForTokenClassification.from_pretrained("TensorGreed/brewslm-sensitive-data-tagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
24 days ago
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initial commit
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