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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e065019d9d0dc4821955a58f893ffc07e94e2fbfcd0659c48dbe83af228de5e
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size 442500328
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