Instructions to use masakhane/afribyt5_en_zul_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afribyt5_en_zul_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afribyt5_en_zul_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afribyt5_en_zul_news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb3ff9a8f85a46d9f85a33f4404fead73c2a62b89ac430e6f07a52aecd28866d
- Size of remote file:
- 2.93 kB
- SHA256:
- 80a985b836168ce1452b02fa7fa3a03fb8a6b902149338df21fbf8733c997947
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