Instructions to use masakhane/afrimbart_fr_mos_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimbart_fr_mos_news with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimbart_fr_mos_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afrimbart_fr_mos_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from masakhane/afrimbart_fr_mos_news: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/masakhane/afrimbart_fr_mos_news/resolve/main/training_args.bin
- Command line
-
hf download hf://masakhane/afrimbart_fr_mos_news/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/masakhane/afrimbart_fr_mos_news/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- cd1a2e9dae578cd9a20172bea10c4ab61b34c6e8a42527c75679a691c52cb105
- Size of remote file:
- 2.8 kB
- SHA256:
- e773b6a92788ad2a0b2a2cf61c5fb62c06f6c5c697925200e90d7ce2ce995763
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