initial commit

README.md

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+This model is converted from the original DKRR [repo](https://github.com/facebookresearch/FiD) and ported into Pyserini:
+
+``` 
+@misc{izacard2020distilling,
+      title={Distilling Knowledge from Reader to Retriever for Question Answering},
+      author={Gautier Izacard and Edouard Grave},
+      year={2020},
+      eprint={2012.04584},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

config.json

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+{
+  "apply_passage_mask": true,
+  "apply_question_mask": true,
+  "architectures": [
+    "Retriever"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "extract_cls": false,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "indexing_dimension": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "passage_maxlength": 200,
+  "projection": false,
+  "question_maxlength": 40,
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

pytorch_model.bin

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