Fill-Mask
Transformers
Safetensors
modernbert
nigerian
hausa
yoruba
igbo
naija
nigerian-pidgin
masked-lm
encoder
olaverse_mist
Instructions to use olaverse/mist-encoder-base-ng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use olaverse/mist-encoder-base-ng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="olaverse/mist-encoder-base-ng")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("olaverse/mist-encoder-base-ng") model = AutoModelForMaskedLM.from_pretrained("olaverse/mist-encoder-base-ng") - Notebooks
- Google Colab
- Kaggle
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# mist-encoder-base-ng
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A small (30.9M-parameter) modern encoder specialised for **Nigerian languages** —
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# mist-encoder-base-ng
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A small (30.9M-parameter) modern encoder specialised for **Nigerian languages** —
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