Instructions to use masakhane/afribyt5_zul_en_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afribyt5_zul_en_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afribyt5_zul_en_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afribyt5_zul_en_news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48bebd7128c460eb4b30e91ac5d00e30cf89c2551a59489fd8518b27aacc9a85
- Size of remote file:
- 2.33 GB
- SHA256:
- 9ddf24a58153b07001b8712c785d7b7774f0e8ad1fdd5d1ea0a3173f6d025d83
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