Token Classification
Transformers
Safetensors
Faroese
xlm-roberta
faroese
pos-tagging
morphology
lrec-coling-2026
Instructions to use Setur/BRAGD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Setur/BRAGD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Setur/BRAGD")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Setur/BRAGD") model = AutoModelForTokenClassification.from_pretrained("Setur/BRAGD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Setur/BRAGD: direct link, hf CLI and curl.
- Browser
- Download file 3.73 MB
-
https://huggingface.co/Setur/BRAGD/resolve/main/tokenizer.json
- Command line
-
hf download hf://Setur/BRAGD/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Setur/BRAGD/resolve/main/tokenizer.json
3.73 MB
File too large to display, you can check the raw version instead.