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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c196035b456903d2b737f344da902ee5e459edc0199631cae0d7a333610e52e
- Size of remote file:
- 328 MB
- SHA256:
- ee552a816443c52d51eba3a76842318af949cbbe07fd5fb1b039146b73da20f9
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