# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("amandyk/KazakhBERTmulti")
model = AutoModelForMaskedLM.from_pretrained("amandyk/KazakhBERTmulti")Quick Links
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.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amandyk/KazakhBERTmulti")