Instructions to use Eraly-ml/KazBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eraly-ml/KazBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Eraly-ml/KazBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Eraly-ml/KazBERT") model = AutoModelForMaskedLM.from_pretrained("Eraly-ml/KazBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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## <span style="color:#4CAF50;"> Citation</span>
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```bibtex
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@misc{
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```
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## <span style="color:#4CAF50;"> Citation</span>
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```bibtex
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@misc{erlanulu_2025_15565394,
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author = {Erlanulu, Yeraly Gainulla},
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title = {KazBERT: A Custom BERT Model for the Kazakh
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Language
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},
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month = may,
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year = 2025,
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publisher = {Zenodo},
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doi = {10.5281/zenodo.15565394},
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url = {https://doi.org/10.5281/zenodo.15565394},
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}
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```
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