| | --- |
| | language: |
| | - ku |
| | metrics: |
| | - perplexity |
| | pipeline_tag: fill-mask |
| | --- |
| | |
| | # KurdBERT |
| | - Type: BERT-based language model transformer |
| | - Description: KurdBERT is a pre-trained language model specifically tailored for the Kurdish languages (Sorani and Kurmanji). It can be used for various NLP tasks, including text classification, named entity recognition, and more. |
| |
|
| | ## How to use |
| | ```python |
| | # Use a pipeline as a high-level helper |
| | from transformers import pipeline |
| | |
| | pipe = pipeline("fill-mask", model="language-ml-lab/KurdBert") |
| | ``` |
| |
|
| | ```python |
| | # Load model directly |
| | from transformers import AutoTokenizer, AutoModelForMaskedLM |
| | |
| | tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/KurdBert") |
| | model = AutoModelForMaskedLM.from_pretrained("language-ml-lab/KurdBert") |
| | ``` |
