Merge pull request #258 from jinnovation/jinnovation/mlflow-ray-serve

Add notebook: Signature-Aware Model Serving from MLflow with Ray Serve

notebooks/en/_toctree.yml

@@ -5,6 +5,12 @@
     - local: index
       title: Overview
 
+    - title: MLOps Recipes
+      isExpanded: false
+      sections:
+        - local: mlflow_ray_serve
+          title: Signature-Aware Model Serving from MLflow with Ray Serve
+
     - title: LLM Recipes
       isExpanded: false
       sections:
@@ -101,7 +107,6 @@
         - local: fine_tuning_vlm_dpo_smolvlm_instruct
           title: Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU
 
-
     - title: Search Recipes
       isExpanded: false
       sections:

notebooks/en/index.md

@@ -7,14 +7,11 @@ applications and solving various machine learning tasks using open-source tools
 
 Check out the recently added notebooks:
 
-- [Multimodal Retrieval-Augmented Generation (RAG) with Document Retrieval (ColPali) and Vision Language Models (VLMs)](multimodal_rag_using_document_retrieval_and_vlms)
-- [Fine-Tuning a Vision Language Model (Qwen2-VL-7B) with the Hugging Face Ecosystem (TRL)](fine_tuning_vlm_trl)
-- [Multi-agent RAG System 🤖🤝🤖](multiagent_rag_system)
-- [Multimodal RAG with ColQwen2, Reranker, and Quantized VLMs on Consumer GPUs](multimodal_rag_using_document_retrieval_and_reranker_and_vlms)
-- [Fine-tuning SmolVLM with TRL on a consumer GPU](fine_tuning_smol_vlm_sft_trl)
-- [Smol Multimodal RAG: Building with ColSmolVLM and SmolVLM on Colab's Free-Tier GPU](multimodal_rag_using_document_retrieval_and_smol_vlm)
+- [Signature-Aware Model Serving from MLflow with Ray Serve](mlflow_ray_serve)
 - [Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU](fine_tuning_vlm_dpo_smolvlm_instruct)
-
+- [Smol Multimodal RAG: Building with ColSmolVLM and SmolVLM on Colab's Free-Tier GPU](multimodal_rag_using_document_retrieval_and_smol_vlm)
+- [Fine-tuning SmolVLM with TRL on a consumer GPU](fine_tuning_smol_vlm_sft_trl)
+- [Multimodal RAG with ColQwen2, Reranker, and Quantized VLMs on Consumer GPUs](multimodal_rag_using_document_retrieval_and_reranker_and_vlms)
 
 
 You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).