loic-dagnas-sinequa commited on
Commit
6cffe30
·
1 Parent(s): a722fe5

Basile's review

Browse files
Files changed (1) hide show
  1. README.md +0 -4
README.md CHANGED
@@ -33,8 +33,6 @@ query vector is used at query time to look up relevant passages in the index.
33
 
34
  Here is an overview of the model we deliver publicly here.
35
 
36
- Here’s the markdown table without formatting:
37
-
38
  | Model | Languages | Relevance | Inference Time | GPU Memory |
39
  |--------------------------------|-----------------------------|-----------|----------------|------------|
40
  | vectorizer-v1-S-en | en | 0.456 | 52 ms | 330 MiB |
@@ -49,8 +47,6 @@ Passage Rankers are models which produce a relevance score given a query-passage
49
 
50
  Here is an overview of the model we deliver publicly here.
51
 
52
- Here’s the table in markdown format:
53
-
54
  | Model | Languages | Relevance | Inference Time | GPU Memory |
55
  |---------------------------------|-----------------------------|-----------|----------------|------------|
56
  | passage-ranker-v1-XS-en | en | 0.438 | 20 ms | 170 MiB |
 
33
 
34
  Here is an overview of the model we deliver publicly here.
35
 
 
 
36
  | Model | Languages | Relevance | Inference Time | GPU Memory |
37
  |--------------------------------|-----------------------------|-----------|----------------|------------|
38
  | vectorizer-v1-S-en | en | 0.456 | 52 ms | 330 MiB |
 
47
 
48
  Here is an overview of the model we deliver publicly here.
49
 
 
 
50
  | Model | Languages | Relevance | Inference Time | GPU Memory |
51
  |---------------------------------|-----------------------------|-----------|----------------|------------|
52
  | passage-ranker-v1-XS-en | en | 0.438 | 20 ms | 170 MiB |