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GainEnergy
/
OGAI-3.1-Engineer

Text Classification
Transformers
English
llm
oil-and-gas
engineering
custom-llm
ogai-3.1-engineer
nvidia
llama
Nemotron
drilling-engineering
Model card Files Files and versions
xet

Instructions to use GainEnergy/OGAI-3.1-Engineer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GainEnergy/OGAI-3.1-Engineer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="GainEnergy/OGAI-3.1-Engineer")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("GainEnergy/OGAI-3.1-Engineer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • evaluate_model.py
    1.36 kB
    RAG Additions about 2 years ago
  • fine_tune_config.json
    481 Bytes
    RAG Additions about 2 years ago
  • finetune_with_lora.py
    1.78 kB
    add about 2 years ago
  • generate_rag_response.py
    1.38 kB
    RAG Additions about 2 years ago
  • generate_responses_with_prompts.py
    924 Bytes
    Finetuning Additions about 2 years ago
  • index_documents.py
    1.22 kB
    RAG Additions about 2 years ago
  • load_training_data.py
    1.61 kB
    Finetuning Additions about 2 years ago
  • preprocess_data.py
    2.11 kB
    RAG Additions about 2 years ago
  • retrieve_documents.py
    1.06 kB
    RAG Additions about 2 years ago
  • setup_rag.py
    1.47 kB
    add about 2 years ago
  • train_fine_tuning.py
    1.65 kB
    RAG Additions about 2 years ago
  • train_lora.py
    1.58 kB
    Finetuning Additions about 2 years ago
  • train_model.py
    1.28 kB
    add about 2 years ago