Instructions to use reeddg/T5sum2ndbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reeddg/T5sum2ndbase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reeddg/T5sum2ndbase") model = AutoModelForSeq2SeqLM.from_pretrained("reeddg/T5sum2ndbase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 212d1553425a2d75feb5bf3ddbdca81546ba60023b78294405d9421d1b9ad1c4
- Size of remote file:
- 571 MB
- SHA256:
- 3853d01ade478b397c7921ebd8c610eeb74206834c8c756e3dec7e8f8e25adba
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