diff --git a/optimum/commands/env.py b/optimum/commands/env.py
index 9b76a9fb69..ee01ed0601 100644
--- a/optimum/commands/env.py
+++ b/optimum/commands/env.py
@@ -57,8 +57,8 @@ def run(self):
             "Platform": platform.platform(),
             "Python version": platform.python_version(),
             "Huggingface_hub version": huggingface_hub.__version__,
-            "PyTorch version (GPU?)": f"{pt_version} (cuda availabe: {pt_cuda_available})",
-            "Tensorflow version (GPU?)": f"{tf_version} (cuda availabe: {tf_cuda_available})",
+            "PyTorch version (GPU?)": f"{pt_version} (cuda available: {pt_cuda_available})",
+            "Tensorflow version (GPU?)": f"{tf_version} (cuda available: {tf_cuda_available})",
         }
 
         print("\nCopy-and-paste the text below in your GitHub issue:\n")
diff --git a/optimum/exporters/onnx/model_configs.py b/optimum/exporters/onnx/model_configs.py
index 26202e889b..277f9f2cfc 100644
--- a/optimum/exporters/onnx/model_configs.py
+++ b/optimum/exporters/onnx/model_configs.py
@@ -116,6 +116,10 @@ def inputs(self) -> Dict[str, Dict[int, str]]:
         }
 
 
+class NomicBertOnnxConfig(BertOnnxConfig):
+    DEFAULT_ONNX_OPSET = 14
+
+
 class AlbertOnnxConfig(BertOnnxConfig):
     DEFAULT_ONNX_OPSET = 11
 
@@ -785,6 +789,19 @@ class ResNetOnnxConfig(ViTOnnxConfig):
     DEFAULT_ONNX_OPSET = 11
 
 
+class SigLIPVisionOnnxConfig(ViTOnnxConfig):
+    pass
+
+
+class SigLIPVisionModelOnnxConfig(SigLIPVisionOnnxConfig):
+    @property
+    def outputs(self) -> Dict[str, Dict[int, str]]:
+        return {
+            "last_hidden_state": {0: "batch_size"},
+            "pooler_output": {0: "batch_size"},
+        }
+
+
 class DetrOnnxConfig(ViTOnnxConfig):
     DEFAULT_ONNX_OPSET = 12
 
@@ -1004,6 +1021,10 @@ def generate_dummy_inputs(self, framework: str = "pt", **kwargs):
         return dummy_inputs
 
 
+class SigLIPTextOnnxConfig(CLIPTextOnnxConfig):
+    pass
+
+
 class UNetOnnxConfig(VisionOnnxConfig):
     ATOL_FOR_VALIDATION = 1e-3
     # The ONNX export of a CLIPText architecture, an other Stable Diffusion component, needs the Trilu
@@ -1750,7 +1771,8 @@ class SpeechT5OnnxConfig(OnnxSeq2SeqConfigWithPast):
     # so we won't support for now.
     NORMALIZED_CONFIG_CLASS = NormalizedSeq2SeqConfig.with_args(
         hidden_size="hidden_size",
-        num_attention_heads="encoder_attention_heads",  # TODO: bugged in case encoder and decoder have different number of heads
+        num_attention_heads="encoder_attention_heads",
+        # TODO: bugged in case encoder and decoder have different number of heads
         encoder_num_layers="encoder_layers",
         decoder_num_layers="decoder_layers",
         allow_new=True,
diff --git a/optimum/exporters/tasks.py b/optimum/exporters/tasks.py
index f02f176923..cbfccfa285 100644
--- a/optimum/exporters/tasks.py
+++ b/optimum/exporters/tasks.py
@@ -871,6 +871,7 @@ class TasksManager:
             "text2text-generation-with-past",
             onnx="M2M100OnnxConfig",
         ),
+        "nomic-bert": supported_tasks_mapping("feature-extraction", onnx="NomicBertOnnxConfig"),
         "nystromformer": supported_tasks_mapping(
             "feature-extraction",
             "fill-mask",
diff --git a/optimum/utils/normalized_config.py b/optimum/utils/normalized_config.py
index 81207b7649..5ae5310ab1 100644
--- a/optimum/utils/normalized_config.py
+++ b/optimum/utils/normalized_config.py
@@ -259,6 +259,7 @@ class NormalizedConfigManager:
         "mpt": MPTNormalizedTextConfig,
         "mt5": T5LikeNormalizedTextConfig,
         "m2m-100": BartLikeNormalizedTextConfig,
+        "nomic-bert": NormalizedTextConfig,
         "nystromformer": NormalizedTextConfig,
         "opt": NormalizedTextConfig,
         "pegasus": BartLikeNormalizedTextConfig,
diff --git a/tests/exporters/exporters_utils.py b/tests/exporters/exporters_utils.py
index a55c7a124d..25b4123071 100644
--- a/tests/exporters/exporters_utils.py
+++ b/tests/exporters/exporters_utils.py
@@ -251,6 +251,7 @@
     "mpt": "mosaicml/mpt-7b",
     "mt5": "lewtun/tiny-random-mt5",  # Not using google/mt5-small because it takes too much time for testing.
     "musicgen": "facebook/musicgen-small",
+    "nomic-bert": "nomic-ai/nomic-embed-text-v1.5",
     "nystromformer": "hf-internal-testing/tiny-random-NystromformerModel",
     "owlv2": "google/owlv2-base-patch16",
     "owlvit": "google/owlvit-base-patch32",
diff --git a/tests/exporters/onnx/test_exporters_onnx_cli.py b/tests/exporters/onnx/test_exporters_onnx_cli.py
index ed611ade04..6b57558279 100644
--- a/tests/exporters/onnx/test_exporters_onnx_cli.py
+++ b/tests/exporters/onnx/test_exporters_onnx_cli.py
@@ -730,3 +730,20 @@ def test_complex_synonyms(self):
             model.save_pretrained(tmpdir_in)
 
             main_export(model_name_or_path=tmpdir_in, output=tmpdir_out, task="text-classification")
+
+    @slow
+    def test_custom_model(self):
+        with TemporaryDirectory() as tmpdirname:
+            out = subprocess.run(
+                f"python3 -m optimum.exporters.onnx --trust-remote-code --model nomic-ai/nomic-embed-text-v1.5 --task feature-extraction {tmpdirname}",
+                shell=True,
+                capture_output=True,
+            )
+            self.assertFalse(out.returncode)
+
+        with TemporaryDirectory() as tmpdirname:
+            out = subprocess.run(
+                f"python3 -m optimum.exporters.onnx --trust-remote-code --model nomic-ai/nomic-embed-text-v1.5 --task feature-extraction {tmpdirname}",
+                shell=True,
+                check=True,
+            )
diff --git a/tests/onnxruntime/test_modeling.py b/tests/onnxruntime/test_modeling.py
index 473ab4cf3b..5c449e72e5 100644
--- a/tests/onnxruntime/test_modeling.py
+++ b/tests/onnxruntime/test_modeling.py
@@ -1987,6 +1987,7 @@ class ORTModelForFeatureExtractionIntegrationTest(ORTModelTestMixin):
         "mpnet",
         "roberta",
         "xlm_roberta",
+        "nomic-bert",
     ]
 
     FULL_GRID = {"model_arch": SUPPORTED_ARCHITECTURES}