Instructions to use tau/t5-v1_1-large-sled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tau/t5-v1_1-large-sled with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tau/t5-v1_1-large-sled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
maorivgi commited on
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README.md
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language: en
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# T5(v1.1)-SLED (SLiding-Encoder and Decoder,
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SLED models use pretrained, short-range encoder-decoder models, and apply them over
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long-text inputs by splitting the input into multiple overlapping chunks, encoding each independently and perform fusion-in-decoder
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language: en
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# T5(v1.1)-SLED (SLiding-Encoder and Decoder, large-sized model)
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SLED models use pretrained, short-range encoder-decoder models, and apply them over
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long-text inputs by splitting the input into multiple overlapping chunks, encoding each independently and perform fusion-in-decoder
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