Instructions to use google/long-t5-tglobal-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-tglobal-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-tglobal-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72d81d0c61f12211046db33177aaf56d6e5d0aac5bc6210b95ae5ae2aa12fef0
- Size of remote file:
- 3.13 GB
- SHA256:
- a8258fdd6c03119d44c1f4adf8178ba6ffe16b18a6b18d503ab2561f8316e935
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