Super excited to release Autotrain MCP. This is an MCP server for training AI models, so you can use your AI tools to train your AI models 🤯.
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Super excited to release Autotrain MCP. This is an MCP server for training AI models, so you can use your AI tools to train your AI models 🤯.
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🔗 
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🔗 
https://huggingface.co/spaces/burtenshaw/autotrain-mcp
burtenshaw/autotrain-mcp
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https://huggingface.co/spaces/burtenshaw/autotrain-mcp
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Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:
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Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:
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- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
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- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
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- The AI can retrieve models and datasets from the hub using the hub MCP.
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- The AI can retrieve models and datasets from the hub using the hub MCP.
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- Training happens on a Hugging Face space, so no worries about hardware restraints.
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- Training happens on a Hugging Face space, so no worries about hardware restraints.
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- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
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- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
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- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.
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- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.
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Everything is still under active development, but I’m super excited to hear what people build, and I’m open to contributions!
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Everything is still under active development, but I’m super excited to hear what people build, and I’m open to contributions!
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Super excited to release Autotrain MCP. This is an MCP server for training AI models, so you can use your AI tools to train your AI models 🤯.

🔗 https://huggingface.co/spaces/burtenshaw/autotrain-mcp

Use this MCP server with tools like Claude Desktop, Cursor, VSCode, or Continue to do this:

- Define an ML problem like Image Classification, LLM fine-tuning, Text Classification, etc.
- The AI can retrieve models and datasets from the hub using the hub MCP.
- Training happens on a Hugging Face space, so no worries about hardware restraints.
- Models are pushed to the hub to be used inference tools like Llama.cpp, vLLM, MLX, etc.
- Built on top of the AutoTrain library, so it has full integration with transformers and other libraries.

Everything is still under active development, but I’m super excited to hear what people build, and I’m open to contributions!

🔥
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