Fill-Mask
Transformers
Safetensors
Swahili
English
xlm-roberta
masked-language-modeling
domain-adaptation
swahili
sheng
kenya
cpims
african-nlp
afriberta
Instructions to use Rogendo/afribert-kenya-adapted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rogendo/afribert-kenya-adapted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rogendo/afribert-kenya-adapted")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rogendo/afribert-kenya-adapted") model = AutoModelForMaskedLM.from_pretrained("Rogendo/afribert-kenya-adapted") - Notebooks
- Google Colab
- Kaggle
Ctrl+K