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clemsail
/
kiki-embedded-sft

Text Generation
PEFT
Safetensors
English
French
electronics
embedded-systems
embedded
lora
sft
kiki-tuning
conversational
Model card Files Files and versions
xet
Community

Instructions to use clemsail/kiki-embedded-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use clemsail/kiki-embedded-sft with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
    model = PeftModel.from_pretrained(base_model, "clemsail/kiki-embedded-sft")
  • Notebooks
  • Google Colab
  • Kaggle
kiki-embedded-sft
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
clemsail's picture
clemsail
docs: append EU AI Act §50 transparency section
7459277 verified 4 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer.json with huggingface_hub about 1 month ago
  • README.md
    2.46 kB
    docs: append EU AI Act §50 transparency section 4 days ago
  • adapter_config.json
    1.04 kB
    Upload adapter_config.json with huggingface_hub about 1 month ago
  • adapter_model.safetensors
    87.4 MB
    xet
    Upload adapter_model.safetensors with huggingface_hub about 1 month ago
  • chat_template.jinja
    4.17 kB
    Upload chat_template.jinja with huggingface_hub about 1 month ago
  • tokenizer.json
    11.4 MB
    xet
    Upload tokenizer.json with huggingface_hub about 1 month ago
  • tokenizer_config.json
    665 Bytes
    Upload tokenizer_config.json with huggingface_hub about 1 month ago