Instructions to use learn3r/longt5_xl_summ_screen_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_summ_screen_20 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_summ_screen_20") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_summ_screen_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from learn3r/longt5_xl_summ_screen_20: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/learn3r/longt5_xl_summ_screen_20/resolve/main/training_args.bin
- Command line
-
hf download hf://learn3r/longt5_xl_summ_screen_20/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/learn3r/longt5_xl_summ_screen_20/resolve/main/training_args.bin
4.35 kB
- Xet hash:
- 4adfbd7959a1b1e9ae9cff916ef01e8de7b59b5e029119d59e4a5c8744fc35b7
- Size of remote file:
- 4.35 kB
- SHA256:
- d227cf338ecca81ec1cfb1656e39b4c5ffb822b514fb30904ea37d265b0a18a0
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