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@@ -65,15 +65,14 @@ Starting with `transformers` version >= 4.45.0, you can run **conversational inf
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  To use LISAT-7B with transformers, make sure to update your transformers installation to the latest version using:
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- ```bash
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- pip install --upgrade transformers
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  Once your installation is updated, you can use LISAT-7B for inference as follows:
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  This will render as a properly formatted Python code snippet in Markdown. When you view it in a Markdown-rendering environment, it will look like this:
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- ```python
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  from transformers import AutoModelForImageSegmentation, AutoTokenizer
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  # Load model and tokenizer
@@ -85,7 +84,7 @@ input_image = "path/to/your/image.png" # Replace with your input image
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  inputs = tokenizer(input_image, return_tensors="pt")
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  # Generate segmentation or other tasks
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- outputs = model.generate(**inputs)
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  ## Intended Use
@@ -150,14 +149,14 @@ If you use LISAt in your research or applications, please cite our paper:
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  If you use LISAt in your research or applications, please cite our paper:
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- ```bibtex
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  @article{TBD,
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  title={LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery},
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  author={Quenum, Jerome and Hsieh, Wen-Han and Wu, Tsung-Han and Gupta, Ritwik and Darrell, Trevor and Chan, David M},
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  journal={TBD},
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  year={2025},
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  url={TBD}
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- }
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  To use LISAT-7B with transformers, make sure to update your transformers installation to the latest version using:
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+ `pip install --upgrade transformers`
 
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  Once your installation is updated, you can use LISAT-7B for inference as follows:
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  This will render as a properly formatted Python code snippet in Markdown. When you view it in a Markdown-rendering environment, it will look like this:
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+ `
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  from transformers import AutoModelForImageSegmentation, AutoTokenizer
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  # Load model and tokenizer
 
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  inputs = tokenizer(input_image, return_tensors="pt")
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  # Generate segmentation or other tasks
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+ outputs = model.generate(**inputs)`
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  ## Intended Use
 
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  If you use LISAt in your research or applications, please cite our paper:
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+ `bibtex
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  @article{TBD,
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  title={LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery},
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  author={Quenum, Jerome and Hsieh, Wen-Han and Wu, Tsung-Han and Gupta, Ritwik and Darrell, Trevor and Chan, David M},
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  journal={TBD},
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  year={2025},
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  url={TBD}
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+ }`
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