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 pytorch_model.bin from acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/acmc/summarizer_google_long-t5-tglobal-base_keybert_faceted/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- edb84263a89024a32a1948ac98ce59cf10a05c6683dd134db1a4a21cb81418de
- Size of remote file:
- 990 MB
- SHA256:
- 421f0c145585edc3e06291be803b066a4cb2e1bd1c41b1ffd0fb805bab0b7231
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