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Sabine-Brunswicker
/
ATC-LLAMA-LORA

Text Generation
PEFT
Safetensors
English
aviation
atc
air-traffic-control
icao
lora
fine-tuned
uav
autonomous-systems
radiotelephony
conversational
Model card Files Files and versions
xet
Community

Instructions to use Sabine-Brunswicker/ATC-LLAMA-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Sabine-Brunswicker/ATC-LLAMA-LORA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "Sabine-Brunswicker/ATC-LLAMA-LORA")
  • Notebooks
  • Google Colab
  • Kaggle
ATC-LLAMA-LORA
185 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
FemiLanre's picture
FemiLanre
Update README
2567a2a verified 11 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 1 month ago
  • README.md
    7.05 kB
    Update README 11 days ago
  • adapter_config.json
    1.11 kB
    Upload model about 1 month ago
  • adapter_model.safetensors
    168 MB
    xet
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  • chat_template.jinja
    4.61 kB
    Upload tokenizer about 1 month ago
  • tokenizer.json
    17.2 MB
    xet
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    354 Bytes
    Upload tokenizer about 1 month ago