Instructions to use VladimML/Summ_Dialog_News with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VladimML/Summ_Dialog_News with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VladimML/Summ_Dialog_News") model = AutoModelForSeq2SeqLM.from_pretrained("VladimML/Summ_Dialog_News", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VladimML/Summ_Dialog_News: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/VladimML/Summ_Dialog_News/resolve/main/training_args.bin
- Command line
-
hf download hf://VladimML/Summ_Dialog_News/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VladimML/Summ_Dialog_News/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 9b1b9d16260fc988eb0bb3a8f76dd5ecd49e7a7b524d6017c95ee67651ff65a4
- Size of remote file:
- 4.92 kB
- SHA256:
- 8f0f2e101deeda83235c87c4763c3d1a204d9c614260fc6adad4291cc261bd49
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