Instructions to use Thegame1161/t5_large_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thegame1161/t5_large_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Thegame1161/t5_large_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Thegame1161/t5_large_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Thegame1161/t5_large_summarization: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Thegame1161/t5_large_summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://Thegame1161/t5_large_summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Thegame1161/t5_large_summarization/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 43bc7e596e3493e84102d94459c28e4411cde2601e86b2676e0889c8eb282b5e
- Size of remote file:
- 5.3 kB
- SHA256:
- 6463c539a5d9b0d6656ec86909b94b34894b9abaaac5c40245997a6210e76dd3
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