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:
- 72f6f2152e7b93c103a5abe63cb5514a4f305a4445caea19865cad8f8784263c
- Size of remote file:
- 1.64 GB
- SHA256:
- 54b3db8d2bc2115bf3638fad3ff760b8212b693c8e10ee9161294d9fc04b0357
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