Instructions to use KETI-AIR/long-ke-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR/long-ke-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR/long-ke-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR/long-ke-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddeed8deb36c3102179176adb0b3589d69a61d74c4bdba2c3943b29d64c2e514
- Size of remote file:
- 1.19 GB
- SHA256:
- d257a3dcbe26091b90a676093915d51484dc1225232b7fa7f1ebd24b5b7fcf85
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