Stop using title frontmatter and fix doc that can only be reached by search (#20623)

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

docs/models/extensions/runai_model_streamer.md

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-title: Loading models with Run:ai Model Streamer
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+# Loading models with Run:ai Model Streamer
 
 Run:ai Model Streamer is a library to read tensors in concurrency, while streaming it to GPU memory.
 Further reading can be found in [Run:ai Model Streamer Documentation](https://github.com/run-ai/runai-model-streamer/blob/master/docs/README.md).

docs/models/extensions/tensorizer.md

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-title: Loading models with CoreWeave's Tensorizer
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+# Loading models with CoreWeave's 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

docs/models/generative_models.md

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-title: Generative Models
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+# Generative Models
 
 vLLM provides first-class support for generative models, which covers most of LLMs.
 

docs/models/hardware_supported_models/tpu.md

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-title: TPU
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+# TPU
 
 # TPU Supported Models
 ## Text-only Language Models

docs/models/pooling_models.md

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-title: Pooling Models
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+# Pooling Models
 
 vLLM also supports pooling models, including embedding, reranking and reward models.
 

docs/models/supported_models.md

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-title: Supported Models
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+# Supported Models
 
 vLLM supports [generative](./generative_models.md) and [pooling](./pooling_models.md) models across various tasks.
 If a model supports more than one task, you can set the task via the `--task` argument.