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flax-community/roberta-swahili
roberta-swahili is a fill-mask model from flax-community. Use it when you need the model to fill a missing word. It is set up for transformers.
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.
Downloads · 30 days
57
1% of all-time downloads
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From the Hugging Face model README
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/roberta-swahili")
model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-swahili")
print(round((model.num_parameters())/(1000*1000)),"Million Parameters")
105 Million Parameters
This model was trained on Swahili Safi
Eval metrics: {'f1': 86%}
This model was fine-tuned based off this model for the Zindi News Classification Challenge
For more details and Demo please check HF Swahili Space