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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1f78293035a2be6b7b41da23a29c65063557c81d04f0e7374b38b60689d5886
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size 435597512
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