This model was trained using HuggingFace's Flax framework and is part of the JAX/Flax Community Week organized by HuggingFace. All training was done on a TPUv3-8 VM sponsored by the Google Cloud team.
from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/bert-base-uncased-swahili") model = AutoModelForMaskedLM.from_pretrained("flax-community/bert-base-uncased-swahili") print(round((model.num_parameters())/(1000*1000)),"Million Parameters") 110 Million Parameters
This model was trained on Swahili Safi
For more details and Demo please check HF Swahili Space
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