Instructions to use masakhane/afrimt5_pcm_en_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimt5_pcm_en_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimt5_pcm_en_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afrimt5_pcm_en_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf26e9cfac0ebad53bbb411bea58ea766c02d6117d23371f9f4d11b70501639f
- Size of remote file:
- 2.33 GB
- SHA256:
- ae952d7c7867b1aad6012216bae7dec4e90bf77656777d1610363bf5b9a12e3e
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