Instructions to use amandyk/KazakhBERTmulti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amandyk/KazakhBERTmulti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amandyk/KazakhBERTmulti")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amandyk/KazakhBERTmulti") model = AutoModelForMaskedLM.from_pretrained("amandyk/KazakhBERTmulti") - Notebooks
- Google Colab
- Kaggle
If you use this model, please consider citing the paper:
E. Bekbulatov and A. Kartbayev, "A study of certain morphological structures of Kazakh and their impact on the machine translation quality," 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT), 2014, pp. 1-5, doi: 10.1109/ICAICT.2014.7036013.
- Downloads last month
- 3