diff --git a/sbi/utils/__init__.py b/sbi/utils/__init__.py
index 93a301580..621758232 100644
--- a/sbi/utils/__init__.py
+++ b/sbi/utils/__init__.py
@@ -69,4 +69,3 @@
     validate_theta_and_x,
 )
 from sbi.utils.user_input_checks_utils import MultipleIndependent
-from sbi.utils.get_nn_models import posterior_nn, likelihood_nn, classifier_nn
diff --git a/sbi/utils/get_nn_models.py b/sbi/utils/get_nn_models.py
deleted file mode 100644
index 7267dfa10..000000000
--- a/sbi/utils/get_nn_models.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
-# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
-
-from typing import Any, Callable, Optional
-from warnings import warn
-
-from torch import nn
-
-from sbi.neural_nets.factory import classifier_nn as classifier_nn_moved_to_neural_nets
-from sbi.neural_nets.factory import likelihood_nn as likelihood_nn_moved_to_neural_nets
-from sbi.neural_nets.factory import posterior_nn as posterior_nn_moved_to_neural_nets
-
-
-def classifier_nn(
-    model: str,
-    z_score_theta: Optional[str] = "independent",
-    z_score_x: Optional[str] = "independent",
-    hidden_features: int = 50,
-    embedding_net_theta: nn.Module = nn.Identity(),
-    embedding_net_x: nn.Module = nn.Identity(),
-    **kwargs: Any,
-) -> Callable:
-    r"""This method is deprecated and will be removed in a future release.
-    Please use `from sbi.neural_nets import classifier_nn` in the future.
-    """
-
-    warn(
-        "This method is deprecated and will be removed in a future release."
-        "Please use `from sbi.neural_nets import classifier_nn` in the future.",
-        DeprecationWarning,
-        stacklevel=2,
-    )
-
-    return classifier_nn_moved_to_neural_nets(
-        model,
-        z_score_theta,
-        z_score_x,
-        hidden_features,
-        embedding_net_theta,
-        embedding_net_x,
-        **kwargs,
-    )
-
-
-def likelihood_nn(
-    model: str,
-    z_score_theta: Optional[str] = "independent",
-    z_score_x: Optional[str] = "independent",
-    hidden_features: int = 50,
-    num_transforms: int = 5,
-    num_bins: int = 10,
-    embedding_net: nn.Module = nn.Identity(),
-    num_components: int = 10,
-    **kwargs: Any,
-) -> Callable:
-    r"""This method is deprecated and will be removed in a future release.
-    Please use `from sbi.neural_nets import likelihood_nn` in the future.
-    """
-
-    warn(
-        "This method is deprecated and will be removed in a future release. "
-        "Please use `from sbi.neural_nets import likelihood_nn` in the future.",
-        DeprecationWarning,
-        stacklevel=2,
-    )
-
-    return likelihood_nn_moved_to_neural_nets(
-        model,
-        z_score_theta,
-        z_score_x,
-        hidden_features,
-        num_transforms,
-        num_bins,
-        embedding_net,
-        num_components,
-        **kwargs,
-    )
-
-
-def posterior_nn(
-    model: str,
-    z_score_theta: Optional[str] = "independent",
-    z_score_x: Optional[str] = "independent",
-    hidden_features: int = 50,
-    num_transforms: int = 5,
-    num_bins: int = 10,
-    embedding_net: nn.Module = nn.Identity(),
-    num_components: int = 10,
-    **kwargs: Any,
-) -> Callable:
-    r"""This method is deprecated and will be removed in a future release.
-    Please use `from sbi.neural_nets import posterior_nn` in the future.
-    """
-
-    warn(
-        "This method is deprecated and will be removed in a future release."
-        "Please use `from sbi.neural_nets import posterior_nn` in the future.",
-        DeprecationWarning,
-        stacklevel=2,
-    )
-
-    return posterior_nn_moved_to_neural_nets(
-        model,
-        z_score_theta,
-        z_score_x,
-        hidden_features,
-        num_transforms,
-        num_bins,
-        embedding_net,
-        num_components,
-        **kwargs,
-    )
diff --git a/tests/neural_nets_factory.py b/tests/neural_nets_factory.py
deleted file mode 100644
index af8c4d4a1..000000000
--- a/tests/neural_nets_factory.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import pytest
-
-from sbi.utils.get_nn_models import classifier_nn, likelihood_nn, posterior_nn
-
-models_to_test = [
-    "mdn",
-    "made",
-    "maf",
-    "maf_rqs",
-    "nsf",
-    "mnle",
-    "zuko_bpf",
-    "zuko_gf",
-    "zuko_maf",
-    "zuko_naf",
-    "zuko_ncsf",
-    "zuko_nice",
-    "zuko_nsf",
-    "zuko_sospf",
-    "zuko_unaf",
-]
-
-
-@pytest.mark.parametrize(
-    "model", ["linear", "mlp", "resnet"], ids=["linear", "mlp", "resnet"]
-)
-def test_deprecated_import_classifier_nn(model: str):
-    with pytest.warns(DeprecationWarning):
-        build_fcn = classifier_nn(model)
-        assert callable(build_fcn)
-
-
-@pytest.mark.parametrize("model", models_to_test, ids=models_to_test)
-def test_deprecated_import_likelihood_nn(model: str):
-    with pytest.warns(DeprecationWarning):
-        build_fcn = likelihood_nn(model)
-        assert callable(build_fcn)
-
-
-@pytest.mark.parametrize("model", models_to_test, ids=models_to_test)
-def test_deprecated_import_posterior_nn(model: str):
-    with pytest.warns(DeprecationWarning):
-        build_fcn = posterior_nn(model)
-        assert callable(build_fcn)