quicktensor
/

dexml_lf-amazontitles-1.3m

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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quicktensor commited on Apr 4

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4b6e9a6

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1 Parent(s): efcae58

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@@ -27,7 +27,7 @@ With huggingface transformers you only need to be a bit careful with how you poo
 ```python
 from transformers import AutoTokenizer, AutoModel
-pooler = lambda x: x[:, 0, :] # Choose CLS token and normalize
 sentences = ["This is an example sentence", "Each sentence is converted"]
 tokenizer = AutoTokenizer.from_pretrained('quicktensor/dexml_lf-amazontitles-1.3m')

 ```python
 from transformers import AutoTokenizer, AutoModel
+pooler = lambda x: x[:, 0, :] # Choose CLS token
 sentences = ["This is an example sentence", "Each sentence is converted"]
 tokenizer = AutoTokenizer.from_pretrained('quicktensor/dexml_lf-amazontitles-1.3m')