diff --git a/docs/source/models/supported_models.md b/docs/source/models/supported_models.md
index 32f3e9deff671..f3094ce71ecc4 100644
--- a/docs/source/models/supported_models.md
+++ b/docs/source/models/supported_models.md
@@ -939,6 +939,26 @@ The following table lists those that are tested in vLLM.
   * ✅︎
 :::
 
+#### Transcription (`--task transcription`)
+
+Speech2Text models trained specifically for Automatic Speech Recognition.
+
+:::{list-table}
+:widths: 25 25 25 5 5
+:header-rows: 1
+
+- * Architecture
+  * Models
+  * Example HF Models
+  * [LoRA](#lora-adapter)
+  * [PP](#distributed-serving)
+- * `Whisper`
+  * Whisper-based
+  * `openai/whisper-large-v3-turbo`
+  * 🚧
+  * 🚧
+:::
+
 _________________
 
 ## Model Support Policy
diff --git a/vllm/entrypoints/llm.py b/vllm/entrypoints/llm.py
index d071a0b3cfc5d..41340e40e01ea 100644
--- a/vllm/entrypoints/llm.py
+++ b/vllm/entrypoints/llm.py
@@ -421,7 +421,7 @@ def generate(
             instead pass them via the ``inputs`` parameter.
         """
         runner_type = self.llm_engine.model_config.runner_type
-        if runner_type != "generate":
+        if runner_type not in ["generate", "transcription"]:
             messages = [
                 "LLM.generate() is only supported for (conditional) generation "
                 "models (XForCausalLM, XForConditionalGeneration).",