Instructions to use facebook/dpr-ctx_encoder-multiset-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dpr-ctx_encoder-multiset-base with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-ctx_encoder-multiset-base") model = DPRContextEncoder.from_pretrained("facebook/dpr-ctx_encoder-multiset-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 315a81c88931d44debbcee7809c1c355fce4ee5dd07c59ef9de8dc053f397279
- Size of remote file:
- 438 MB
- SHA256:
- 6cbb0d767ae6d9094468dba1fad88c5d1961c29dbb97a8084127a185c947011e
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