Migrate docs from Sphinx to MkDocs (#18145)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/models/extensions/tensorizer.md

@@ -0,0 +1,16 @@
+---
+title: Loading models with CoreWeave's Tensorizer
+---
+[](){ #tensorizer }
+
+vLLM supports loading models with [CoreWeave's Tensorizer](https://docs.coreweave.com/coreweave-machine-learning-and-ai/inference/tensorizer).
+vLLM model tensors that have been serialized to disk, an HTTP/HTTPS endpoint, or S3 endpoint can be deserialized
+at runtime extremely quickly directly to the GPU, resulting in significantly
+shorter Pod startup times and CPU memory usage. Tensor encryption is also supported.
+
+For more information on CoreWeave's Tensorizer, please refer to
+[CoreWeave's Tensorizer documentation](https://github.com/coreweave/tensorizer). For more information on serializing a vLLM model, as well a general usage guide to using Tensorizer with vLLM, see
+the [vLLM example script](https://docs.vllm.ai/en/latest/getting_started/examples/tensorize_vllm_model.html).
+
+!!! note
+    Note that to use this feature you will need to install `tensorizer` by running `pip install vllm[tensorizer]`.