# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("Andrija/M-bert-NER")
model = AutoModelForTokenClassification.from_pretrained("Andrija/M-bert-NER")Quick Links
Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges.
| Abbreviation | Description |
|---|---|
| O | Outside of a named entity |
| B-MIS | Beginning of a miscellaneous entity right after another miscellaneous entity |
| I-MIS | Miscellaneous entity |
| B-PER | Beginning of a person's name right after another person's name |
| B-DERIV-PER | Begginning derivative that describes relation to a person |
| I-PER | Person's name |
| B-ORG | Beginning of an organization right after another organization |
| I-ORG | organization |
| B-LOC | Beginning of a location right after another location |
| I-LOC | Location |
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Andrija/M-bert-NER")