Add VLLM tag (#6)

- Add VLLM tag (a26b35e8d5d25458cf18d2b53e5b566d0d8a3dd0)

Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.huggingface.co>

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README.md CHANGED Viewed

@@ -1,5 +1,6 @@
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 license: apache-2.0
 ---
 Update: PR is merged, llama.cpp now natively supports these models
 Important: Verify that processing a simple question with any image at least uses 1200 tokens of prompt processing, that shows that the new PR is in use.
@@ -11,5 +12,4 @@ If your prompt is just 576 + a few tokens, you are using llava-1.5 code (or proj
 The mmproj files are the embedded ViT's that came with llava-1.6, I've not compared them but given the previous releases from the team I'd be surprised if the ViT has not been fine tuned this time.
 If that's the case, using another ViT can cause issues.
-Original models: https://github.com/haotian-liu/LLaVA

 ---
 license: apache-2.0
+pipeline_tag: image-text-to-text
 ---
 Update: PR is merged, llama.cpp now natively supports these models
 Important: Verify that processing a simple question with any image at least uses 1200 tokens of prompt processing, that shows that the new PR is in use.
 The mmproj files are the embedded ViT's that came with llava-1.6, I've not compared them but given the previous releases from the team I'd be surprised if the ViT has not been fine tuned this time.
 If that's the case, using another ViT can cause issues.
+Original models: https://github.com/haotian-liu/LLaVA