Translation
Transformers
Safetensors
Swahili
Sukuma
m2m_100
text2text-generation
nileagi
sukuma
swahili
low-resource
african-languages
bantu
Instructions to use nileagi/nileagi-suk-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nileagi/nileagi-suk-mt with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="nileagi/nileagi-suk-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nileagi/nileagi-suk-mt") model = AutoModelForSeq2SeqLM.from_pretrained("nileagi/nileagi-suk-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Weights are released under CC BY-NC-SA 4.0 for non-commercial research and education. Credit NileAGI, keep adaptations under the same licence, and contact us before any commercial product or paid service. Do not use the model to harm people, break the law, or present outputs as human writing.
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