mixedbread-ai
/

mxbai-embed-2d-large-v1

Feature Extraction

sentence-transformers

Transformers.js

text-embeddings-inference

Model card Files Files and versions

Aamir commited on Mar 4, 2024

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d1946e5

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1 Parent(s): dd3c0fb

Update README.md

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@@ -2649,7 +2649,7 @@ new_embedding_size = 768  # 2D: set embedding size
 embeddings = model.encode(
     [
         'Who is german and likes bread?',
-        'Everybody in German.'
     ]
 )
@@ -2682,7 +2682,7 @@ embedding_size = 768  # 2d: embedding size
 # 3. encode
 embeddings = model.encode([
     'Who is german and likes bread?',
-    'Everybody in German.'
 ], layer_index=layer_index, embedding_size=embedding_size)
 similarities = cos_sim(embeddings[0], embeddings[1:])

 embeddings = model.encode(
     [
         'Who is german and likes bread?',
+        'Everybody in Germany.'
     ]
 )
 # 3. encode
 embeddings = model.encode([
     'Who is german and likes bread?',
+    'Everybody in Germany.'
 ], layer_index=layer_index, embedding_size=embedding_size)
 similarities = cos_sim(embeddings[0], embeddings[1:])