Instructions to use PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Context_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_Context_Encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Context_Encoder") model = DPRContextEncoder.from_pretrained("PrimeQA/MITQA_OTTQA_DPR_Table_Retriever_Context_Encoder") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
bd8a20a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7b30483a44aac66aefc4659702eb2c7d80438bde5aeb744d7728d17402fa7f12
size 435657845
|