Instructions to use EJueon/keyword_dpr_question_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EJueon/keyword_dpr_question_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EJueon/keyword_dpr_question_encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EJueon/keyword_dpr_question_encoder") model = AutoModel.from_pretrained("EJueon/keyword_dpr_question_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdb7938c15ff3078af0a41a1e7b97aba848c8eaa474b8e169dc47f354172a3fb
- Size of remote file:
- 443 MB
- SHA256:
- 773ab3b8aa736a84db4e73789ff4df124d98eb45887c7c6218f431a43ff0e1b3
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