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W4ashabii
/
SmolVLM256M_CropDisease

Image-Text-to-Text
PEFT
Safetensors
English
vision-language
vlm
lora
unsloth
agriculture
crop-disease
smolvlm
image-to-text
conversational
Model card Files Files and versions
xet
Community

Instructions to use W4ashabii/SmolVLM256M_CropDisease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use W4ashabii/SmolVLM256M_CropDisease with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolVLM-256M-Instruct")
    model = PeftModel.from_pretrained(base_model, "W4ashabii/SmolVLM256M_CropDisease")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
SmolVLM256M_CropDisease
18.7 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
W4ashabii's picture
W4ashabii
Update README.md
7ebdaf8 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    6.09 kB
    Update README.md about 2 months ago
  • adapter_config.json
    1.55 kB
    Update: manual final save about 2 months ago
  • adapter_model.safetensors
    15.2 MB
    xet
    Update: manual final save about 2 months ago
  • chat_template.jinja
    403 Bytes
    Update: manual final save about 2 months ago
  • processor_config.json
    586 Bytes
    Update: manual final save about 2 months ago
  • tokenizer.json
    3.55 MB
    Update: manual final save about 2 months ago
  • tokenizer_config.json
    27.9 kB
    Update: manual final save about 2 months ago
  • training_args.bin
    5.2 kB
    xet
    Update: manual final save about 2 months ago