Instructions to use Smaraa/bart-text-simplification_1e4_adafactor_newsela with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Smaraa/bart-text-simplification_1e4_adafactor_newsela with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor_newsela") model = AutoModelForSeq2SeqLM.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor_newsela", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Smaraa/bart-text-simplification_1e4_adafactor_newsela: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Smaraa/bart-text-simplification_1e4_adafactor_newsela/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Smaraa/bart-text-simplification_1e4_adafactor_newsela/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Smaraa/bart-text-simplification_1e4_adafactor_newsela/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 6c6ead63ca719681d54ac7e09ceb631e7673983e1c0327caeb9d71e50ad4d446
- Size of remote file:
- 558 MB
- SHA256:
- 736692997d65b17d007dad7cfd0d90694af39f401b7745508ba20fc7764742db
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