Instructions to use vblagoje/dpr-question_encoder-single-lfqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vblagoje/dpr-question_encoder-single-lfqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vblagoje/dpr-question_encoder-single-lfqa-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vblagoje/dpr-question_encoder-single-lfqa-base") model = AutoModel.from_pretrained("vblagoje/dpr-question_encoder-single-lfqa-base") - Notebooks
- Google Colab
- Kaggle
PAQ base pretrained checkpoint??
#1
by firqaaa - opened
You mentioned in the description that it utilize the PAQ base pretrained checkpoint to build this model. Can you give me explanation how do you train this model? or where do you get this model? Thanks ππ€
firqaaa changed discussion title from PAQ base pretrained checkpoint to PAQ base pretrained checkpoint??