Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
t5-lm-adapt
text-generation-inference
Instructions to use google/t5-small-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-small-lm-adapt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-small-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-small-lm-adapt") - Notebooks
- Google Colab
- Kaggle
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Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
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Other Community Checkpoints: [here](https://huggingface.co/models?
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Paper: [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/pdf/1910.10683.pdf)
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Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
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Other Community Checkpoints: [here](https://huggingface.co/models?other=t5-lm-adapt)
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Paper: [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/pdf/1910.10683.pdf)
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