Token Classification
Transformers
PyTorch
TensorFlow
Arabic
English
bert
text-classification
BERT
sequence-tagger-model
Instructions to use ychenNLP/arabic-ner-ace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ychenNLP/arabic-ner-ace with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ychenNLP/arabic-ner-ace")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-ner-ace") model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-ner-ace", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ychenNLP/arabic-ner-ace: direct link, hf CLI and curl.
- Browser
- Download file 1.25 MB
-
https://huggingface.co/ychenNLP/arabic-ner-ace/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://ychenNLP/arabic-ner-ace@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ychenNLP/arabic-ner-ace/resolve/refs%2Fpr%2F1/tokenizer.json
1.25 MB
File too large to display, you can check the raw version instead.