lewispons
/

large-email-classifier

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

text-embeddings-inference

Model card Files Files and versions Community

lewispons commited on Nov 28, 2022

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f816171

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1 Parent(s): cd5fdae

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@@ -27,7 +27,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
-model = SentenceTransformer('{MODEL_NAME}')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
+model = SentenceTransformer('{lewispons/large-email-classifier}')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```