# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("novakat/nerkor-hubert")
model = AutoModelForTokenClassification.from_pretrained("novakat/nerkor-hubert")Quick Links
Hungarian named entity recognition model with four entity types: PER ORG LOC MISC
- Pretrained model used: SZTAKI-HLT/hubert-base-cc
- Finetuned on NYTK-NerKor Corpus
Limitations
- max_seq_length = 448
See https://huggingface.co/novakat/nerkor-cars-onpp-hubert for a much more elaborate Hungarian named entity model.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="novakat/nerkor-hubert")