Instructions to use castorini/wiki-all-8-4-multi-dpr2-query-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/wiki-all-8-4-multi-dpr2-query-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="castorini/wiki-all-8-4-multi-dpr2-query-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("castorini/wiki-all-8-4-multi-dpr2-query-encoder") model = AutoModel.from_pretrained("castorini/wiki-all-8-4-multi-dpr2-query-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76890d1dcbdd90bdb127aa7ebe93fba0f9df3b9ed4da5b914814f60e5df0b6b6
- Size of remote file:
- 438 MB
- SHA256:
- 859c5b7445e99bb8a6b19cb1054dff5fecaa4bef1c34d7b07268201cd840e17e
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