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:
- 83292aa66454862a0cc0495cf7a53f56e31003361738955bdeeb7baae3c3fcf0
- Size of remote file:
- 2.93 kB
- SHA256:
- 3239824dbafe684fdfa85d9b60617aaadc12f14c4b8ac19bdceb25e8d5ae043a
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