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README.md

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----
-language: multilingual
-datasets:
-- NQ
-- Trivia
-- SQuAD
-- MLQA
-- DRCD
----
-
-# dpr-ctx_encoder-bert-base-multilingual
-
-## Description
-
-Multilingual DPR Model base on bert-base-multilingual-cased. 
-[DPR model](https://arxiv.org/abs/2004.04906)
-[DPR repo](https://github.com/facebookresearch/DPR)
-
-## Data
-1. [NQ](https://github.com/facebookresearch/DPR/blob/master/data/download_data.py)
-2. [Trivia](https://github.com/facebookresearch/DPR/blob/master/data/download_data.py)
-3. [SQuAD](https://github.com/facebookresearch/DPR/blob/master/data/download_data.py)
-4. [DRCD*](https://github.com/DRCKnowledgeTeam/DRCD)
-5. [MLQA*](https://github.com/facebookresearch/MLQA)
-
-`question pairs for train`： 644,217  
-`question pairs for dev`： 73,710
-
-*DRCD and MLQA are converted using script from haystack [squad_to_dpr.py](https://github.com/deepset-ai/haystack/blob/master/haystack/retriever/squad_to_dpr.py)
-
-## Training Script
-I use the script from [haystack](https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial9_DPR_training.ipynb)
-
-## Usage
-
-```python
-from transformers import DPRContextEncoder, DPRContextEncoderTokenizer
-tokenizer = DPRContextEncoderTokenizer.from_pretrained('voidful/dpr-ctx_encoder-bert-base-multilingual')
-model = DPRContextEncoder.from_pretrained('voidful/dpr-ctx_encoder-bert-base-multilingual')
-input_ids = tokenizer("Hello, is my dog cute ?", return_tensors='pt')["input_ids"]
-embeddings = model(input_ids).pooler_output
-```
-
-Follow the tutorial from `haystack`:
-[Better Retrievers via "Dense Passage Retrieval"](https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial6_Better_Retrieval_via_DPR.ipynb)
-```
-from haystack.retriever.dense import DensePassageRetriever
-retriever = DensePassageRetriever(document_store=document_store,
-                                  query_embedding_model="voidful/dpr-question_encoder-bert-base-multilingual",
-                                  passage_embedding_model="voidful/dpr-ctx_encoder-bert-base-multilingual",
-                                  max_seq_len_query=64,
-                                  max_seq_len_passage=256,
-                                  batch_size=16,
-                                  use_gpu=True,
-                                  embed_title=True,
-                                  use_fast_tokenizers=True)
-```