docs: enable multimodal encoder compilation in vLLM examples

Signed-off-by: Oliver Holworthy <oliverholworthy@users.noreply.huggingface.co>

README.md

@@ -374,6 +374,7 @@ def make_input(tokenizer, query, document):
 def main() -> None:
     model = LLM(
         model=MODEL_PATH,
+        compilation_config={"compile_mm_encoder": True},
         runner="pooling",
         dtype="bfloat16",
         limit_mm_per_prompt={"image": 1},
@@ -437,6 +438,7 @@ vllm serve "$MODEL_PATH" \
     --runner pooling \
     --dtype bfloat16 \
     --max-model-len 32768 \
+    --compilation-config '{"compile_mm_encoder":true}' \
     --max-num-seqs 4 \
     --limit-mm-per-prompt '{"image":1}' \
     --pooler-config '{"seq_pooling_type":"MEAN","use_activation":false}' \