Instructions to use MaggiePai/long-t5-encodec-tglobal-base_squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaggiePai/long-t5-encodec-tglobal-base_squadv2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MaggiePai/long-t5-encodec-tglobal-base_squadv2") model = AutoModelForSeq2SeqLM.from_pretrained("MaggiePai/long-t5-encodec-tglobal-base_squadv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3223406ebb2da770f34571d2677fffc739db298c7811b1cdec5c21e75775d9b9
- Size of remote file:
- 1.05 GB
- SHA256:
- 43daeda48bc97c3816297fab3857fc89591450e01c740f7c2dc034dfd740025c
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