Instructions to use rooftopcoder/led-base-book-summary-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/led-base-book-summary-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/led-base-book-summary-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/led-base-book-summary-samsum") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:fed8d967fbab8e802d1c56aeb6653317cdc3d58d94fcc00c04a892f3b52b0ad2
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size 647614452
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