POS Tagger
- Type: Fine-tuned BERT-based Part-of-Speech (POS) tagging model
- Description: This model has been fine-tuned using AzerBERT for part-of-speech tagging tasks in Iranian Azerbaijani text. It can be used to annotate text with 11 POS tags, which is essential for various downstream NLP applications.
How to use
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="language-ml-lab/postagger-azb")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/postagger-azb")
model = AutoModelForTokenClassification.from_pretrained("language-ml-lab/postagger-azb")
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