Update README.md

README.md

@@ -41,10 +41,10 @@ datasets:
 ### Usage
 
 ```python
-from transformers import DPRQuestionEncoder, DPRQuestionEncoderTokenizer
+from transformers import DPRContextEncoder, DPRContextEncoderTokenizer
 
-tokenizer = DPRQuestionEncoderTokenizer.from_pretrained('firqaaa/indo-dpr-question_encoder-multiset-base')
-model = DPRQuestionEncoder.from_pretrained('firqaaa/indo-dpr-question_encoder-multiset-base')
+tokenizer = DPRContextEncoderTokenizer.from_pretrained('firqaaa/indo-dpr-ctx_encoder-multiset-base')
+model = DPRContextEncoder.from_pretrained('firqaaa/indo-dpr-ctx_encoder-multiset-base')
 input_ids = tokenizer("Siapa nama pengarang manga Yu-Gi-Oh?", return_tensors='pt')["input_ids"]
 embeddings = model(input_ids).pooler_output
 ```
@@ -56,8 +56,8 @@ from haystack.nodes import DensePassageRetriever
 from haystack.document_stores import InMemoryDocumentStore
 
 retriever = DensePassageRetriever(document_store=InMemoryDocumentStore(),
-                                  query_embedding_model="firqaaa/indo-dpr-question_encoder-multiset-base",
-                                  passage_embedding_model="firqaaa/indo-dpr-question_encoder-multiset-base",
+                                  query_embedding_model="firqaaa/indo-dpr-ctx_encoder-multiset-base",
+                                  passage_embedding_model="firqaaa/indo-dpr-ctx_encoder-multiset-base",
                                   max_seq_len_query=64,
                                   max_seq_len_passage=256,
                                   batch_size=16,