Instructions to use masakhane/afrimbart_wol_fr_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimbart_wol_fr_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimbart_wol_fr_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afrimbart_wol_fr_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 214e4364d049561fd5e10d790ee093e3089f8298e5ad297eb7a2c6be050954d1
- Size of remote file:
- 2.44 GB
- SHA256:
- b2a4cd010413f3a6e32d164939333dfd5d1600452f8b9bf3cf915be427faa653
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