Instructions to use WikinewsSum/bert2bert-multi-fr-wiki-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikinewsSum/bert2bert-multi-fr-wiki-news with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WikinewsSum/bert2bert-multi-fr-wiki-news") model = AutoModelForSeq2SeqLM.from_pretrained("WikinewsSum/bert2bert-multi-fr-wiki-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from WikinewsSum/bert2bert-multi-fr-wiki-news: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/WikinewsSum/bert2bert-multi-fr-wiki-news/resolve/main/training_args.bin
- Command line
-
hf download hf://WikinewsSum/bert2bert-multi-fr-wiki-news/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/WikinewsSum/bert2bert-multi-fr-wiki-news/resolve/main/training_args.bin
1.14 kB
- Xet hash:
- 4d98ddf95dc8d04c82b046874389c8a0410189fe7bd44e758596571a13759093
- Size of remote file:
- 1.14 kB
- SHA256:
- f8420adff30c952d4dd6c592024243df65fb02df8a6c50d65a2c04cd4a65fb4e
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