Instructions to use hooman650/ct2fast-bge-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hooman650/ct2fast-bge-reranker with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hooman650/ct2fast-bge-reranker", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking`
#2 opened about 1 year ago
by
tomaarsen
In actual testing, compared to using fp16, it is only less than 10% faster
👍 1
3
#1 opened over 2 years ago
by
swulling