Instructions to use masakhane/afrimt5_zul_en_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimt5_zul_en_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimt5_zul_en_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afrimt5_zul_en_news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb18d50db3bb5cc44e70c8b169afabb7f915275530d81d564e7fe346a770e0a3
- Size of remote file:
- 2.8 kB
- SHA256:
- a86c8ea2475f06a989199afb4c324e4dfb4d19b5ecefc20c8f7d069a989d2f1e
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