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bert-base-uncased-swahili
flax-community/bert-base-uncased-swahili
bert-base-uncased-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.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 25, 2021
- SHA
- 646f76bd
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Datasets
Model card
From the Hugging Face model README
BERT base-uncased for in Swahili
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.
How to use
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
Training Data:
This model was trained on Swahili Safi
More Details:
For more details and Demo please check HF Swahili Space
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Languages
- sw
- Created
- Mar 2, 2022
- Updated
- Jul 25, 2021