Instructions to use Jiexing/spider_relation_t5_3b-2624 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiexing/spider_relation_t5_3b-2624 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jiexing/spider_relation_t5_3b-2624") model = AutoModelForSeq2SeqLM.from_pretrained("Jiexing/spider_relation_t5_3b-2624", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a3771378193c9bd7e5d47a725a507a942367e4d680157f87253c5ec21751ccb
- Size of remote file:
- 13.6 MB
- SHA256:
- 7a1439756de7e32fe97a2eab69ca3169bc4bd48d9907b644aae09126099c6709
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