How to use bengid/pii-redaction-deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bengid/pii-redaction-deberta-base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bengid/pii-redaction-deberta-base") model = AutoModelForTokenClassification.from_pretrained("bengid/pii-redaction-deberta-base", device_map="auto")
https://huggingface.co/bengid/pii-redaction-deberta-base/resolve/main/tokenizer.json
hf download hf://bengid/pii-redaction-deberta-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/bengid/pii-redaction-deberta-base/resolve/main/tokenizer.json
