Instructions to use griffith-bigdata/GRAST-SQL-4B-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-4B-BIRD-Reranker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("griffith-bigdata/GRAST-SQL-4B-BIRD-Reranker") model = AutoModelForCausalLM.from_pretrained("griffith-bigdata/GRAST-SQL-4B-BIRD-Reranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ffb7683bd77a6dc2fb2ce617fae25c0340fac8c7b3a6bc20d62f4afdcb3025d
- Size of remote file:
- 11.4 MB
- SHA256:
- 3c3dfe474a8bbe89b0e83627fd9ff784ad71027f12fd8c618708c818e808789d
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