Token Classification
Transformers
ONNX
Safetensors
English
modernbert
pii
redaction
person-names
ner
ettin
distillation
Instructions to use HMC83/name-detector-68m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HMC83/name-detector-68m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HMC83/name-detector-68m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HMC83/name-detector-68m") model = AutoModelForTokenClassification.from_pretrained("HMC83/name-detector-68m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HMC83/name-detector-68m: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/HMC83/name-detector-68m/resolve/main/tokenizer.json
- Command line
-
hf download hf://HMC83/name-detector-68m/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/HMC83/name-detector-68m/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.