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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6373cfb3cf70b7b4d3488b5809118d6d6bcb10a1d1c53791f4a766c7ce72df03
- Size of remote file:
- 990 MB
- SHA256:
- 288fc9c6abd72d86f6e05ed3f3691628f11bf8ab45d69424eb31fc94000e2e34
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