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@@ -8,7 +8,7 @@ tags:
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  - safetensors
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  ---
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- # Model Card for sdiazlor/flux2-klein-4b-optimized-smashed
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  This model was created using the [pruna](https://github.com/PrunaAI/pruna) library. Pruna is a model optimization framework built for developers, enabling you to deliver more efficient models with minimal implementation overhead.
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@@ -20,7 +20,7 @@ First things first, you need to install the pruna library:
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  pip install pruna
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  ```
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- You can [use the library_name library to load the model](https://huggingface.co/sdiazlor/flux2-klein-4b-optimized-smashed?library=library_name) but this might not include all optimizations by default.
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  To ensure that all optimizations are applied, use the pruna library to load the model using the following code:
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@@ -28,7 +28,7 @@ To ensure that all optimizations are applied, use the pruna library to load the
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  from pruna import PrunaModel
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  loaded_model = PrunaModel.from_pretrained(
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- "sdiazlor/flux2-klein-4b-optimized-smashed"
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  )
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  # we can then run inference using the methods supported by the base model
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  ```
 
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  - safetensors
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  ---
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+ # Model Card for PrunaAI/flux2-klein-4b-optimized-smashed
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  This model was created using the [pruna](https://github.com/PrunaAI/pruna) library. Pruna is a model optimization framework built for developers, enabling you to deliver more efficient models with minimal implementation overhead.
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  pip install pruna
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  ```
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+ You can [use the library_name library to load the model](https://huggingface.co/PrunaAI/flux2-klein-4b-optimized-smashed?library=library_name) but this might not include all optimizations by default.
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  To ensure that all optimizations are applied, use the pruna library to load the model using the following code:
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  from pruna import PrunaModel
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  loaded_model = PrunaModel.from_pretrained(
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+ "PrunaAI/flux2-klein-4b-optimized-smashed"
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  )
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  # we can then run inference using the methods supported by the base model
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  ```