Instructions to use Nubletz/bart-text-simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nubletz/bart-text-simplification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nubletz/bart-text-simplification") model = AutoModelForSeq2SeqLM.from_pretrained("Nubletz/bart-text-simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nubletz/bart-text-simplification: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Nubletz/bart-text-simplification/resolve/main/training_args.bin
- Command line
-
hf download hf://Nubletz/bart-text-simplification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nubletz/bart-text-simplification/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 7b1263f814b35f6288c4ef27d62257a5a3cad293640840572afad22ed8739cd4
- Size of remote file:
- 5.18 kB
- SHA256:
- c741e08e0a218d15ed957759bf69c4afc5e61351a01a8317ce112b217783268f
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