Qdrant
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all_miniLM_L6_v2_with_attentions

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feature-extraction

text-embeddings-inference

Inference Endpoints

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Anush008 commited on 27 days ago

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78b113a

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1 Parent(s): a5ce8e1

Update README.md

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@@ -21,7 +21,7 @@ documents = [
 ]
 model = SparseTextEmbedding(model_name="Qdrant/bm42-all-minilm-l6-v2-attentions")
-embeddings = list(embedding_model.embed(documents))
 # [
 #     SparseEmbedding(values=array([0.26399775, 0.24662513, 0.47077307]),

 ]
 model = SparseTextEmbedding(model_name="Qdrant/bm42-all-minilm-l6-v2-attentions")
+embeddings = list(model.embed(documents))
 # [
 #     SparseEmbedding(values=array([0.26399775, 0.24662513, 0.47077307]),