Transformers
Safetensors
English
pegasus
text2text-generation
text-simplification
WikiLarge
Eval Results (legacy)
Instructions to use eilamc14/pegasus-xsum-text-simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eilamc14/pegasus-xsum-text-simplification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eilamc14/pegasus-xsum-text-simplification") model = AutoModelForSeq2SeqLM.from_pretrained("eilamc14/pegasus-xsum-text-simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from eilamc14/pegasus-xsum-text-simplification: direct link, hf CLI and curl.
- Browser
- Download file 6.6 MB
-
https://huggingface.co/eilamc14/pegasus-xsum-text-simplification/resolve/main/tokenizer.json
- Command line
-
hf download hf://eilamc14/pegasus-xsum-text-simplification/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/eilamc14/pegasus-xsum-text-simplification/resolve/main/tokenizer.json
6.6 MB
File too large to display, you can check the raw version instead.