How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="DigitalUmuganda/mbaza_bert")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("DigitalUmuganda/mbaza_bert")
model = AutoModelForMaskedLM.from_pretrained("DigitalUmuganda/mbaza_bert")
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Mbaza Bert is a bert model trained on Kinyarwanda dataset

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Model size
66.6M params
Tensor type
F32
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Dataset used to train DigitalUmuganda/mbaza_bert