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:
- dc20436d9aa3b36c8ed84608bbe791954e50796f8a4cf120efd04710aaf5e4e4
- Size of remote file:
- 242 MB
- SHA256:
- e9be44db8f23ed3c352f84495f322c60063df7fabfdb4ed32105e3231c67189e
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