Instructions to use facebook/dpr-question_encoder-single-nq-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dpr-question_encoder-single-nq-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/dpr-question_encoder-single-nq-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-question_encoder-single-nq-base") model = AutoModel.from_pretrained("facebook/dpr-question_encoder-single-nq-base") - Notebooks
- Google Colab
- Kaggle
Delete Junk
#5 opened 6 months ago
by
qpqpqpqpqpqp
MarCognity-AI for DPR
#4 opened 7 months ago
by
elly99
FileNotFoundError: [Errno 2] No such file or directory: '/models/facebook-dpr-question_encoder-single-nq-base/1_Pooling/config.json'
#3 opened over 2 years ago
by
MHouse
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot