Instructions to use OpenMatch/AAR-Contriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/AAR-Contriever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/AAR-Contriever")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/AAR-Contriever") model = AutoModel.from_pretrained("OpenMatch/AAR-Contriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c130fed06039efda6a6ab25407d7598205822e1ff1547ba5027cfbda4c94727
- Size of remote file:
- 438 MB
- SHA256:
- 4c90da251202e2535f87cc3828fea754f37c5c8c602e7eee731b088d08d8008f
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