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:
- 7417ec75503c380b26a7a22a930e1fca12a8e49cf0b0045bb2111e02a7332695
- Size of remote file:
- 990 MB
- SHA256:
- 5449ea8bf9a5083a89db86d4ced0e95a7838b65aa803d685dabfa0270e7005ac
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