Instructions to use Elifr/mbart-simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elifr/mbart-simplification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Elifr/mbart-simplification") model = AutoModelForSeq2SeqLM.from_pretrained("Elifr/mbart-simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Elifr/mbart-simplification: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/Elifr/mbart-simplification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Elifr/mbart-simplification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Elifr/mbart-simplification/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- 152aa40e5c56730db27119dbb415d75678416b2dfb88bcca087cdf00ce67c368
- Size of remote file:
- 2.44 GB
- SHA256:
- e4cc76b895b0563e217f4ac4848f1c44d5103b75c2fa349ebaccb09d0cd966a3
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