Instructions to use MindscapeRAG/MiA-Emb-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MindscapeRAG/MiA-Emb-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MindscapeRAG/MiA-Emb-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MindscapeRAG/MiA-Emb-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Mindscape-Aware RAG (MiA-RAG)
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[](https://huggingface.co/MindscapeRAG/MiA-Emb-8B)
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This repository provides the inference implementation for **MiA-Emb (Mindscape-Aware Embedding)**, the retriever component in the **MiA-RAG** framework.
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# Mindscape-Aware RAG (MiA-RAG)
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[](https://arxiv.org/pdf/2512.17220)
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[](https://huggingface.co/MindscapeRAG/MiA-Emb-8B)
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This repository provides the inference implementation for **MiA-Emb (Mindscape-Aware Embedding)**, the retriever component in the **MiA-RAG** framework.
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