Instructions to use Jiexing/spider_relation_t5_3b-3392 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiexing/spider_relation_t5_3b-3392 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jiexing/spider_relation_t5_3b-3392") model = AutoModelForSeq2SeqLM.from_pretrained("Jiexing/spider_relation_t5_3b-3392", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d82137c6f8f1da72afb112648824b2beaec05c358dfacc66979be16d95b1c3fe
- Size of remote file:
- 13.6 MB
- SHA256:
- 0cb0ba52a8db6d0645935db554cbe78fe753b3b70dd5657cd5e5c44b12319250
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