Instructions to use Jiexing/relation_t5_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiexing/relation_t5_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jiexing/relation_t5_small") model = AutoModelForSeq2SeqLM.from_pretrained("Jiexing/relation_t5_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d10e67873f815112801477740cfb8b950f124f0e69e6122a2feee66dad43505
- Size of remote file:
- 849 kB
- SHA256:
- fbed8b70f29c8fcc7f39d88cd9fee3daf3d989cc911a40235b8e62b975932967
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