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:
- 3e9e04d674c068ef810123b0fd8cd864467bb98e2209464ef6d6c36700685257
- Size of remote file:
- 2.8 kB
- SHA256:
- bb6d90752b3f612d8b39064fd7668aa9b3d1a5a1d67478900733738c667771d3
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