Image-Text-to-Text
Safetensors
English
lfm2_vl
vision-language
image-to-code
tailwind-css
web-development
unsloth
liquid-foundation-model
conversational
Instructions to use saadxsalman/Liquid-WebSight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use saadxsalman/Liquid-WebSight 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 saadxsalman/Liquid-WebSight 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 saadxsalman/Liquid-WebSight to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saadxsalman/Liquid-WebSight to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="saadxsalman/Liquid-WebSight", max_seq_length=2048, )
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README.md
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- en
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license: apache-2.0
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base_model: LiquidAI/LFM-2.5-450M-Instruct
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tags:
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- vision-language
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- image-to-code
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- en
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license: apache-2.0
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base_model: LiquidAI/LFM-2.5-450M-Instruct
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pipeline_tag: image-text-to-text
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tags:
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- vision-language
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- image-to-code
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