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| <title>LFM2.5 Embedding API</title> | |
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| <h1>🧠 LFM2.5 Embedding API</h1> | |
| <p class="subtitle">OpenAI-compatible embeddings running on pure CPU</p> | |
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| <span class="status-dot"></span> | |
| <span>Operational</span> | |
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| <h2>📊 Model Information</h2> | |
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| <div class="label">Model</div> | |
| <div class="value">LFM2.5-Embedding-350M</div> | |
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| <div class="label">Provider</div> <div class="value">Liquid AI</div> | |
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| <div class="label">Dimensions</div> | |
| <div class="value">1024 floats</div> | |
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| <div class="label">Context</div> | |
| <div class="value">512 tokens</div> | |
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| <div class="label">Quantization</div> | |
| <div class="value">Q8_0 (GGUF)</div> | |
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| <div class="label">Engine</div> | |
| <div class="value">llama.cpp (CPU)</div> | |
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| <h2>🔌 Endpoint</h2> | |
| <p><span class="endpoint">POST</span><code>/v1/embeddings</code></p> | |
| <p style="margin-top: 15px;">Compatible with OpenAI SDK, LangChain, LlamaIndex, Open WebUI, Cursor, OpenClaw, and more.</p> | |
| </div> | |
| <div class="card"> | |
| <h2>🚀 Quick Start (cURL)</h2> | |
| <pre><code>curl -X POST "https://YOUR-SPACE.hf.space/v1/embeddings" \ | |
| -H "Authorization: Bearer YOUR_API_KEY" \ | |
| -H "Content-Type: application/json" \ | |
| -d '{ | |
| "input": "Your text here", | |
| "model": "LiquidAI/LFM2.5-Embedding-350M", | |
| "input_type": "document" | |
| }'</code></pre> | |
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| <h2>🐍 Python Example</h2> | |
| <pre><code>from openai import OpenAI | |
| client = OpenAI( | |
| api_key="YOUR_API_KEY", | |
| base_url="https://YOUR-SPACE.hf.space/v1/" | |
| ) | |
| response = client.embeddings.create( | |
| model="LiquidAI/LFM2.5-Embedding-350M", input="Your text here", | |
| extra_body={"input_type": "document"} | |
| ) | |
| print(response.data[0].embedding[:5])</code></pre> | |
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| <h2>🔐 Authentication</h2> | |
| <p>All requests require a Bearer token:</p> | |
| <pre><code>Authorization: Bearer YOUR_API_KEY</code></pre> | |
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| <div class="card" style="text-align: center;"> | |
| <h2>📚 Documentation</h2> | |
| <p>For complete setup instructions and licensing:</p> | |
| <a href="https://huggingface.co/spaces/Edu014/LFM2.5-Embedding/blob/main/README.md" target="_blank" rel="noopener">View README →</a> | |
| <div class="footer"> | |
| <p>Built with ❤️ for the RAG community</p> | |
| <p style="margin-top: 8px; font-size: 0.85em;"> | |
| Powered by <a href="https://www.liquid.ai" target="_blank" rel="noopener">Liquid AI</a> • | |
| <a href="https://github.com/ggerganov/llama.cpp" target="_blank" rel="noopener">llama.cpp</a> • | |
| <a href="https://fastapi.tiangolo.com" target="_blank" rel="noopener">FastAPI</a> | |
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