diff --git a/experiments/colpali_convert_lang_model.py b/experiments/colpali_convert_lang_model.py
deleted file mode 100644
index 691f0cba..00000000
--- a/experiments/colpali_convert_lang_model.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import torch
-from colpali_engine.models import ColPali, ColPaliProcessor
-import onnxruntime as ort
-
-model_name = "vidore/colpali-v1.2"
-original_model = ColPali.from_pretrained(model_name).eval()
-processor = ColPaliProcessor.from_pretrained(model_name)
-
-dummy_query = ["Is attention really all you need?"]
-
-# Process the input query
-processed_query = processor.process_queries(dummy_query).to(original_model.device)
-
-# Prepare input tensors
-input_query_tensor = processed_query["input_ids"].type(torch.long)
-attention_mask_tensor = processed_query["attention_mask"].type(torch.long)
-
-# Export the model to ONNX with the required inputs and dynamic shapes
-torch.onnx.export(
-    original_model.model.language_model,
-    (input_query_tensor, attention_mask_tensor),
-    "experiments/colpali_text_encoder_dir/model.onnx",
-    input_names=["input_ids", "attention_mask"],
-    output_names=["logits"],
-    dynamo=True,
-    opset_version=14,
-)
-
-
-image_session = ort.InferenceSession("experiments/colpali_text_encoder_dir/model.onnx")
-print("Session output", image_session((input_query_tensor, attention_mask_tensor)))