Instructions to use acmc/summarizer_google_long-t5-local-base_base_background_conclusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acmc/summarizer_google_long-t5-local-base_base_background_conclusion with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acmc/summarizer_google_long-t5-local-base_base_background_conclusion") model = AutoModelForSeq2SeqLM.from_pretrained("acmc/summarizer_google_long-t5-local-base_base_background_conclusion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from acmc/summarizer_google_long-t5-local-base_base_background_conclusion: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/acmc/summarizer_google_long-t5-local-base_base_background_conclusion/resolve/main/training_args.bin
- Command line
-
hf download hf://acmc/summarizer_google_long-t5-local-base_base_background_conclusion/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/acmc/summarizer_google_long-t5-local-base_base_background_conclusion/resolve/main/training_args.bin
4.35 kB
- Xet hash:
- 200f11435702640dde76a123f564d5f55f4c62e54677dfbe321e3567825d2a69
- Size of remote file:
- 4.35 kB
- SHA256:
- d9e85df6f4701b38b5297293d58a33819fb66a0f73ee478d86cb39e7d1490e8a
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