Instructions to use masakhane/afrimt5_en_pcm_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimt5_en_pcm_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimt5_en_pcm_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afrimt5_en_pcm_news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4828276fb0ed587318d53531b48005cdad4b9132514ca6818c95038d186cf646
- Size of remote file:
- 2.33 GB
- SHA256:
- 83f42afc7e0a4629e6114034391743b6a253dbdeabb7d3cc6e69bb17f3ce45d8
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