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")
https://huggingface.co/TensorGreed/brewslm-sensitive-data-tagger/resolve/main/tokenizer.json
hf download hf://TensorGreed/brewslm-sensitive-data-tagger/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/TensorGreed/brewslm-sensitive-data-tagger/resolve/main/tokenizer.json
