Instructions to use OpenMatch/Web-DRO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/Web-DRO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/Web-DRO")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/Web-DRO") model = AutoModel.from_pretrained("OpenMatch/Web-DRO") - Notebooks
- Google Colab
- Kaggle
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license: mit
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license: mit
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The Retrieval Model in Paper: Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs.
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This is a dense retrieval model trained with Group DRO using web information.
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If you want to reproduce our evaluation results or learn more about our work, please refer to https://github.com/OpenMatch/Web-DRO .
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