Instructions to use acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted") model = AutoModelForSeq2SeqLM.from_pretrained("acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted/resolve/main/training_args.bin
- Command line
-
hf download hf://acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- 5bf9aa56b9c3d0708c49b839f4f7729ae0b251935a66786ecd843e5d764f4ccd
- Size of remote file:
- 4.28 kB
- SHA256:
- 7ac53bc2f543fbb3c7ee0685df363e0dbd51d842365458f065a2ef3ca6a7ffe6
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