Instructions to use google/long-t5-tglobal-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-tglobal-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-tglobal-xl") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b08481699bb232163a5880fd77925800f479ada6c03af2ed589f31d27be41346
- Size of remote file:
- 11.4 GB
- SHA256:
- dd5d682710d341222b7b4425da272f792e18998ff9c1b7aafbe2388fb1998e8d
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