perplexity-ai
/

pplx-embed-context-v1-0.6b

Feature Extraction

bidirectional_pplx_qwen3

sentence-similarity

contextual-embeddings

Model card Files Files and versions

bowang0911 commited on 19 days ago

Commit

aedbcae

·

verified ·

1 Parent(s): a093c4c

Update README.md

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -92,7 +92,7 @@ curl -X POST https://api.perplexity.ai/v1/contextualizedembeddings \
 from transformers import AutoModel
 model = AutoModel.from_pretrained(
-    "perplexityai/pplx-embed-1-0.6B",
     trust_remote_code=True
 )
 texts = [
@@ -106,7 +106,7 @@ texts = [
 embeddings = model.encode(texts) # Shape: (5, 1024)
 model_ctx = AutoModel.from_pretrained(
-    "perplexityai/pplx-embed-1-context-0.6B",
     trust_remote_code=True
 )
@@ -135,7 +135,7 @@ embeddings = model_ctx.encode(doc_chunks)
 from sentence_transformers import SentenceTransformer
 model = SentenceTransformer(
-    "perplexityai/pplx-embed-1-0.6B",
     trust_remote_code=True
 )
@@ -150,7 +150,7 @@ texts = [
 embeddings = model.encode(texts) # Shape: (5, 1024)
 model_ctx = SentenceTransformer(
-    "perplexityai/pplx-embed-1-context-0.6B",
     trust_remote_code=True
 )

 from transformers import AutoModel
 model = AutoModel.from_pretrained(
+    "perplexity-ai/pplx-embed-1-0.6B",
     trust_remote_code=True
 )
 texts = [
 embeddings = model.encode(texts) # Shape: (5, 1024)
 model_ctx = AutoModel.from_pretrained(
+    "perplexity-ai/pplx-embed-1-context-0.6B",
     trust_remote_code=True
 )
 from sentence_transformers import SentenceTransformer
 model = SentenceTransformer(
+    "perplexity-ai/pplx-embed-1-0.6B",
     trust_remote_code=True
 )
 embeddings = model.encode(texts) # Shape: (5, 1024)
 model_ctx = SentenceTransformer(
+    "perplexity-ai/pplx-embed-1-context-0.6B",
     trust_remote_code=True
 )