Instructions to use castorini/ance-dpr-question-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/ance-dpr-question-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="castorini/ance-dpr-question-multi")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("castorini/ance-dpr-question-multi") model = AutoModel.from_pretrained("castorini/ance-dpr-question-multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68009d00f326fc329f0ce7369fabc9a9d2233c470a5347c2cb0a3e8d1f076c06
- Size of remote file:
- 438 MB
- SHA256:
- 12931ef15cf607b4938d1d90076b2b9b35e802ca45fce47541bf13f8cfa86d87
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