Text Ranking
Transformers
Safetensors
qwen3
text-generation
text-to-sql
llm
schema-filtering
graph-reranker
Instructions to use griffith-bigdata/GRAST-SQL-8B-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-8B-BIRD-Reranker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("griffith-bigdata/GRAST-SQL-8B-BIRD-Reranker") model = AutoModelForCausalLM.from_pretrained("griffith-bigdata/GRAST-SQL-8B-BIRD-Reranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db5e92b380ad959eec4c25071602b7be234abdcad6f88ec4de60de961c14bba1
- Size of remote file:
- 2.62 GB
- SHA256:
- 6eb29b6c6547a8662fcbb8a0ce0c7f11f69fb190861a77dd1154c7223623b24d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.