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, )
File size: 824 Bytes
f164a88 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"image_processor": {
"data_format": "channels_first",
"do_image_splitting": true,
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"downsample_factor": 2,
"encoder_patch_size": 16,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Lfm2VlImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"max_image_tokens": 256,
"max_num_patches": 1024,
"max_pixels_tolerance": 2.0,
"max_tiles": 10,
"min_image_tokens": 64,
"min_tiles": 2,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"return_row_col_info": true,
"size": {
"height": 512,
"width": 512
},
"tile_size": 512,
"use_thumbnail": true
},
"processor_class": "Lfm2VlProcessor"
}
|