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 tokenizer.json from Elifr/mbart-simplification: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Elifr/mbart-simplification/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://Elifr/mbart-simplification@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Elifr/mbart-simplification/resolve/refs%2Fpr%2F2/tokenizer.json
17.1 MB
- Xet hash:
- e927602d1d26a783670b74debd9fe888ee4103867008c13b622406ac8bd20159
- Size of remote file:
- 17.1 MB
- SHA256:
- 1dc610c1b938b4bf3dbff98a25da0e07bed958cae55dac0df25ed0a40d10a23b
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