Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

hateslopacademy
/
otpensource-vision-lora

Text Classification
Transformers
Safetensors
Korean
English
vision-language
korean
image-to-text
multilingual
fashion
e-commerce
text-generation-inference
unsloth
mllama
lora
Model card Files Files and versions
xet
Community
5

Instructions to use hateslopacademy/otpensource-vision-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hateslopacademy/otpensource-vision-lora with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hateslopacademy/otpensource-vision-lora")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("hateslopacademy/otpensource-vision-lora", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use hateslopacademy/otpensource-vision-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 hateslopacademy/otpensource-vision-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 hateslopacademy/otpensource-vision-lora to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for hateslopacademy/otpensource-vision-lora to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="hateslopacademy/otpensource-vision-lora",
        max_seq_length=2048,
    )
otpensource-vision-lora
181 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
hateslopacademy's picture
hateslopacademy
Update README.md
5c70504 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.28 kB
    Update README.md over 1 year ago
  • adapter_config.json
    1.05 kB
    Upload model trained with Unsloth over 1 year ago
  • adapter_model.safetensors
    181 MB
    xet
    Upload model trained with Unsloth over 1 year ago
  • model.safetensors.index.json
    393 Bytes
    Upload model.safetensors.index.json with huggingface_hub over 1 year ago