Instructions to use PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Query_Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Query_Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Query_Encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Query_Encoder") model = AutoModel.from_pretrained("PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Query_Encoder") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot