How to use NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested") model = AutoModelForTokenClassification.from_pretrained("NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested", device_map="auto")
https://huggingface.co/NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested/resolve/main/tokenizer.json
hf download hf://NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/NAMAA-Space/KnowledgeGraphEval-2026-AdaptNER-MARBERTv2-Nested/resolve/main/tokenizer.json
