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:
# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:68810ae300610d84113ea8e605c446a3e46e1753b0cd1be910f00536296c949a
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size 990263320
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