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word-llama-l2-supercat

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dleemiller commited on Jul 18

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@@ -13,9 +13,9 @@ This model is intended for use in natural language processing applications that
 It's a token embedding model that is comparable to word embedding models, but substantionally smaller in size (16mb default 256-dim model).
 ```python
-from wordllama import load
-wl = load()
 similarity_score = wl.similarity("i went to the car", "i went to the pawn shop")
 print(similarity_score)  # Output: 0.06641249096796882
 ```

 It's a token embedding model that is comparable to word embedding models, but substantionally smaller in size (16mb default 256-dim model).
 ```python
+from wordllama import WordLlama
+wl = WordLlama.load()
 similarity_score = wl.similarity("i went to the car", "i went to the pawn shop")
 print(similarity_score)  # Output: 0.06641249096796882
 ```