Instructions to use nlpconnect/dpr-nq-reader-roberta-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpconnect/dpr-nq-reader-roberta-base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpconnect/dpr-nq-reader-roberta-base-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpconnect/dpr-nq-reader-roberta-base-v2") model = AutoModelForQuestionAnswering.from_pretrained("nlpconnect/dpr-nq-reader-roberta-base-v2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot