Token Classification
Transformers
ONNX
Safetensors
English
modernbert
pii
redaction
person-names
ner
ettin
distillation
Instructions to use HMC83/name-detector-32m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HMC83/name-detector-32m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HMC83/name-detector-32m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HMC83/name-detector-32m") model = AutoModelForTokenClassification.from_pretrained("HMC83/name-detector-32m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K