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  # ML Agent
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- An MLE agent CLI with MCP (Model Context Protocol) integration and built-in tool support.
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  ## Quick Start
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@@ -18,11 +18,9 @@ Create a `.env` file in the project root (or export these in your shell):
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  ```bash
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  ANTHROPIC_API_KEY=<your-anthropic-api-key> # if using anthropic models
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  HF_TOKEN=<your-hugging-face-token>
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- GITHUB_TOKEN=<github-personal-access-token>
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- HF_NAMESPACE=<your-hf-namespace>
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  ```
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-
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- If no `HF_TOKEN` is set, the CLI will prompt you to paste one on first launch.
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  #### That's it. Now `ml-agent` works from any directory:
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  # ML Agent
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+ An MLE agent that researches, writes, and ships good quality ML releated code using the Hugging Face ecosystem — with deep access to docs, papers, datasets, and cloud compute.
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  ## Quick Start
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  ```bash
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  ANTHROPIC_API_KEY=<your-anthropic-api-key> # if using anthropic models
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  HF_TOKEN=<your-hugging-face-token>
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+ GITHUB_TOKEN=<github-personal-access-token>
 
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  ```
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+ If no `HF_TOKEN` is set, the CLI will prompt you to paste one on first launch. To get a GITHUB_TOKEN follow the tutorial [here](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens#creating-a-fine-grained-personal-access-token).
 
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  #### That's it. Now `ml-agent` works from any directory:
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