Transformers
PyTorch
Swahili (macrolanguage)
English
t5
text2text-generation
text-generation-inference
Instructions to use masakhane/afribyt5_swa_en_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afribyt5_swa_en_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afribyt5_swa_en_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afribyt5_swa_en_news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e87be1bf77bfa4a6b965301cfcc99ed197d944e8166890941225418193ff0d
- Size of remote file:
- 2.33 GB
- SHA256:
- 85b519ba064ec450c5c75be051e86bcd41a839bc0df4c88f8561bc82abde9a69
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