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luliuzee
/
metermind-ernie-gauge-lora

Image-Text-to-Text
PEFT
Safetensors
English
lora
ernie
gauge-reading
industrial
vision-language
unsloth
fine-tuned
conversational
Model card Files Files and versions
xet
Community

Instructions to use luliuzee/metermind-ernie-gauge-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use luliuzee/metermind-ernie-gauge-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/ERNIE-4.5-VL-28B-A3B-PT")
    model = PeftModel.from_pretrained(base_model, "luliuzee/metermind-ernie-gauge-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use luliuzee/metermind-ernie-gauge-lora with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for luliuzee/metermind-ernie-gauge-lora to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for luliuzee/metermind-ernie-gauge-lora to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for luliuzee/metermind-ernie-gauge-lora to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="luliuzee/metermind-ernie-gauge-lora",
        max_seq_length=2048,
    )
metermind-ernie-gauge-lora
1.24 GB
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  • 1 contributor
History: 3 commits
luliuzee's picture
luliuzee
Upload README.md with huggingface_hub
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  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    2.93 kB
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  • adapter_config.json
    1.32 kB
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  • adapter_model.safetensors
    1.24 GB
    xet
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  • added_tokens.json
    93.1 kB
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  • chat_template.jinja
    3.08 kB
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  • processing_ernie4_5_vl.py
    70.8 kB
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  • special_tokens_map.json
    75.7 kB
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  • tokenizer.model
    1.61 MB
    xet
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  • tokenizer_config.json
    640 kB
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