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avemio
/
German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI

Question Answering
Transformers
Safetensors
English
German
llama
text-generation
German
RAG
Retrieval
Question-Answering
Summarization
Reasoning
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI")
    model = AutoModelForCausalLM.from_pretrained("avemio/German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI")
  • Notebooks
  • Google Colab
  • Kaggle
German-RAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI
7.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
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avemio-digital
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