tdj

app.py

@@ -11,7 +11,7 @@ from spaces import GPU
 
 @GPU
 def get_embeddings(text, task):
-    model = SentenceTransformer("Linq-AI-Research/Linq-Embed-Mistral")
+    model = SentenceTransformer("Linq-AI-Research/Linq-Embed-Mistral", use_auth_token=os.getenv("HF_TOKEN"))
     task = "Given a question, retrieve passages that answer the question"
     prompt = f"Instruct: {task}\nQuery: {text}"  # Use text here
     query_embeddings = model.encode([prompt], convert_to_tensor=True)  # Ensure it's a list

chroma/chroma.sqlite3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6509430e2a2bf98572a286bc10efec77a5edd30505334c2680c06e4b9f1c7968
+oid sha256:d6a9b16016687d388396d462b8e417318533839195eec10bc6b2c0c8f44e1dd8
 size 235212800