Create README.md

README.md

@@ -0,0 +1,24 @@
+distilbert-base-uncased trained on MSMARCO Document Reranking task, 
+
+#### usage
+```
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained('brutusxu/distilbert-base-cross-encoder-first-p')
+model = AutoModelForSequenceClassification.from_pretrained('brutusxu/distilbert-base-cross-encoder-first-p')
+
+query = 'I love New York'
+document = 'I like New York'
+input = '<P>' + query + tokenizer.sep_token + '<Q>' + document
+tokenized_input = tokenizer(input, return_tensors='pt')
+ranking_score = model(**tokenized_input)
+```
+
+#### performance
+on MSMARCO Document Reranking w. top-100 documents from BM25
+```
+MRR@10: 0.373
+MRR@100: 0.381
+nDCG@10: 0.442
+nDCG@10: 0.475
+```