Instructions to use castorini/aggretriever-cocondenser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/aggretriever-cocondenser with Transformers:
# Load model directly from transformers import AutoTokenizer, AggretrieverEncoder tokenizer = AutoTokenizer.from_pretrained("castorini/aggretriever-cocondenser") model = AggretrieverEncoder.from_pretrained("castorini/aggretriever-cocondenser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58092d0c34b26032fbc6abedfd5153fa5c2bccd7b412523221c2477a020d7a42
- Size of remote file:
- 439 MB
- SHA256:
- 99ed0d5d6a10d669ae95ccf41420dc6f91ef45b7954255c31db1324a5d40a745
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