Instructions to use leadingbridge/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leadingbridge/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leadingbridge/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("leadingbridge/summarization") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:d687989ef8f2032e84054a1d7929b91d26b0b8a7b8bd2abd206eb49d7d1e6545
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size 2329638808
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