Instructions to use OpenCUI/dug-t5large-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenCUI/dug-t5large-0.1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("OpenCUI/dug-t5large-0.1") model = AutoModelForSeq2SeqLM.from_pretrained("OpenCUI/dug-t5large-0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 913cd65d96bcb7aa3824613b3eb9201e51d95ede064d7ad399b6491a7f812711
- Size of remote file:
- 6.39 kB
- SHA256:
- 369c36095eb96411ee2c9258f94705a4cac279898f3e13f875920cfaf20059a4
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