Instructions to use griffith-bigdata/GRAST-SQL-0.6B-BIRD-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use griffith-bigdata/GRAST-SQL-0.6B-BIRD-Reranker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("griffith-bigdata/GRAST-SQL-0.6B-BIRD-Reranker") model = AutoModelForCausalLM.from_pretrained("griffith-bigdata/GRAST-SQL-0.6B-BIRD-Reranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b61b02cbab9eb42e4cc15fdc62b0e7db54273892233a44ece865b8b616fb6971
- Size of remote file:
- 2.38 GB
- SHA256:
- 545b970a33ac183ae1746a732f455f5b0a94822be1329526c41aef891ba84fdd
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