Instructions to use NUSTM/laptop-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NUSTM/laptop-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NUSTM/laptop-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("NUSTM/laptop-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5313f8fb63e2a7d8eb5671376cdb0c84d34f3ee73654e89b892363afe9361f0c
- Size of remote file:
- 892 MB
- SHA256:
- 5b93693d645bfdeefb2a43ac355a9ccf20a659d41f2a60c2b42c8bdc69352e85
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