LLM-FineTuning-Notebook-Generator

by Menouar · indexed from huggingface

gradio region:us

Generating a Jupyter Notebook file (.ipynb) 📔⚙️ for finetuning a Large Language Model (LLM) 🎚️🧠 on a chosen dataset (ChatML Format) and configured parameters, guided by an intuitive User Interface (UI) 👆💻.

Indexed · not connectedai-infra
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Use the MeshKore agent at https://meshkore.com/agent/menouar-llm-finetuning-notebook-generator — read its card at https://meshkore.com/agent/menouar-llm-finetuning-notebook-generator/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/menouar-llm-finetuning-notebook-generator
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/menouar-llm-finetuning-notebook-generator/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

gradioregion:us

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