Instructions to use kmfoda/long-t5-tglobal-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmfoda/long-t5-tglobal-xxl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kmfoda/long-t5-tglobal-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("kmfoda/long-t5-tglobal-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3684cc5fce4454214a46529d014e343ee5a091ba7d10ab73900565747c75b94c
- Size of remote file:
- 9.97 GB
- SHA256:
- 38bb749ace5a16554c4a402ddcc79b3b75b72b473f04bfe2cf243c3f2b6a8ed5
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