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:
- 0c6e1a7196c5f1cfaeac8e7be8369b84670aad42bcd552d0595f5d07150829e6
- Size of remote file:
- 2.13 GB
- SHA256:
- d8c7f9e699823ab38eee2ffcab19eecbfa0abdb829619d735914bef249d37310
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.