Instructions to use deepset/bert-small-mm_retrieval-passage_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/bert-small-mm_retrieval-passage_encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("deepset/bert-small-mm_retrieval-passage_encoder") model = DPRContextEncoder.from_pretrained("deepset/bert-small-mm_retrieval-passage_encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce6fc967be9cadbda873e1cee342fc8d4e3c85d55702567a894ed72015cf5cf6
- Size of remote file:
- 115 MB
- SHA256:
- 7cc8a98c00f4a6ff8b6935998f050e8cb67c3afe5c14de1f79449002b77521d1
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