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
- Xet hash:
- bbe0b22fe829989b85f28cb99ca86b0ade74d24c6a42a8f910589441766426bf
- Size of remote file:
- 436 MB
- SHA256:
- 7b30483a44aac66aefc4659702eb2c7d80438bde5aeb744d7728d17402fa7f12
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