Instructions to use masakhane/afri-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afri-mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afri-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afri-mt5-base") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Citation Information
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```
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@inproceedings{adelani-etal-2022-thousand,
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title = "A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for {A}frican News Translation",
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author = "Adelani, David and
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### Citation Information
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```
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@inproceedings{adelani-etal-2022-thousand,
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title = "A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for {A}frican News Translation",
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author = "Adelani, David and
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