Remove values test for inited models

tests/test_model.py

@@ -12,35 +12,9 @@ def test_model_creation(**kwargs) -> None:
     torch.manual_seed(42)
     # Creation from a base encoder
     model = models.ColBERT(model_name_or_path="bert-base-uncased")
-    queries_embeddings = model.encode(sentences=query, is_query=True)
-    documents_embeddings = model.encode(sentences=documents, is_query=False)
-    reranked_documents = rank.rerank(
-        documents_ids=[["1", "2"]],
-        queries_embeddings=queries_embeddings,
-        documents_embeddings=documents_embeddings,
-    )
-    assert math.isclose(
-        reranked_documents[0][0]["score"], 25.92, rel_tol=0.01, abs_tol=0.01
-    )
-    assert math.isclose(
-        reranked_documents[0][1]["score"], 23.7, rel_tol=0.01, abs_tol=0.01
-    )
 
     # Creation from a base sentence-transformer
     model = models.ColBERT(model_name_or_path="sentence-transformers/all-MiniLM-L6-v2")
-    queries_embeddings = model.encode(sentences=query, is_query=True)
-    documents_embeddings = model.encode(sentences=documents, is_query=False)
-    reranked_documents = rank.rerank(
-        documents_ids=[["1", "2"]],
-        queries_embeddings=queries_embeddings,
-        documents_embeddings=documents_embeddings,
-    )
-    assert math.isclose(
-        reranked_documents[0][0]["score"], 18.77, rel_tol=0.01, abs_tol=0.01
-    )
-    assert math.isclose(
-        reranked_documents[0][1]["score"], 18.63, rel_tol=0.01, abs_tol=0.01
-    )
 
     # Creation from stanford-nlp (safetensor)
     model = models.ColBERT(model_name_or_path="answerdotai/answerai-colbert-small-v1")