Instructions to use ncncomplete/t5-summarizer-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncncomplete/t5-summarizer-fast with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ncncomplete/t5-summarizer-fast") model = AutoModelForSeq2SeqLM.from_pretrained("ncncomplete/t5-summarizer-fast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ncncomplete/t5-summarizer-fast: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/ncncomplete/t5-summarizer-fast/resolve/main/training_args.bin
- Command line
-
hf download hf://ncncomplete/t5-summarizer-fast/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ncncomplete/t5-summarizer-fast/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- 42c2536f0acc8b9b2141cb8c8718659e66040171f884924335636645da4e5b97
- Size of remote file:
- 5.33 kB
- SHA256:
- fac0b00b1acb393359d0a2a338fef24eb5654937e6af1619ea63747b78464426
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