Instructions to use google/long-t5-tglobal-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-tglobal-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-tglobal-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding generation config file(s)
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Update README.md
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Update README.md
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Copy tokenizer files from t5-base
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Update ckpts
Daniel Stancl1ab8e27
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Fix untie word embeddings
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Update README.md
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Add config file and PT+Flax ckpts
Daniel Stancl19164a5 -
Create README.md
This is a **temporary** repo containing a converted HF checkpoint from the original Google checkpoint [here](https://console.cloud.google.com/storage/browser/t5-data/pretrained_models/t5x/longt5/tglobal_base;tab=objects).48f3a5e -
initial commit
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