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 training_args.bin from Elifr/mbart-simplification: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Elifr/mbart-simplification/resolve/main/training_args.bin
- Command line
-
hf download hf://Elifr/mbart-simplification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Elifr/mbart-simplification/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- db61d3989a506e9c2afd9914570ba442f7646d1de13e37b577d01507fcec33b4
- Size of remote file:
- 3.64 kB
- SHA256:
- 2b2d2d17daf4426e32c3dc5f9611df4f11822554f5611534934906d07484c327
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