Instructions to use allenai/led-base-16384-multi_lexsum-source-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/led-base-16384-multi_lexsum-source-tiny with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/led-base-16384-multi_lexsum-source-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/led-base-16384-multi_lexsum-source-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding generation config file(s)
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Upload README.md with huggingface_hub (#1)
- Upload README.md with huggingface_hub (f126c16bc0d05596a278d9b94de0962ac40c077c) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>9fba771
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Model Release for led-base-16384-multi_lexsum-source-tiny
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Model Release for led-base-16384-multi_lexsum-source-tiny
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Model Release for led-base-16384-multi_lexsum-source-tiny
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Model Release for led-base-16384-multi_lexsum-source-tiny
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Model Release for led-base-16384-multi_lexsum-source-tiny
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Model Release for led-base-16384-multi_lexsum-source-tiny
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initial commit
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