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 pytorch_model.bin from WikinewsSum/bert2bert-multi-fr-wiki-news: direct link, hf CLI and curl.
- Browser
- Download file 1.54 GB
-
https://huggingface.co/WikinewsSum/bert2bert-multi-fr-wiki-news/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://WikinewsSum/bert2bert-multi-fr-wiki-news/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/WikinewsSum/bert2bert-multi-fr-wiki-news/resolve/main/pytorch_model.bin
1.54 GB
- Xet hash:
- f57c9a2e33503a2571c745df1ade9c74d879beed056408e0d2a698ff65a02499
- Size of remote file:
- 1.54 GB
- SHA256:
- 0ff74466be4872affb30f547a44486903eceb633be7b4365ce7283489a821556
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