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:
- 2f6ceb9e9c3268a479fb21f564ecd937c244bb7242a4a475b9f96d4c6c1a2dbd
- Size of remote file:
- 2.93 kB
- SHA256:
- 74fe68bfaae97e9c41c02f17386b9ba0f352b2b86207a2d8e4a6e3f7bd8874ee
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