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  license: apache-2.0
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- license: apache-2.0
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  # ProteinForceGPT: Generative strategies for modeling, design and analysis of protein mechanics
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  model.config.use_cache = False
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  ```
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  Sample inference using the "Sequence<...>" task, where here, the model will simply autocomplete the sequence starting with "AIIAA":
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  ```python
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  The dataset used to fine-tune the model is available at:
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  @article{GhafarollahiBuehler_2024,
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  title = {ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model},
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  author = {B. Ni, D.L. Kaplan, M.J. Buehler},
 
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  license: apache-2.0
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  # ProteinForceGPT: Generative strategies for modeling, design and analysis of protein mechanics
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  model.config.use_cache = False
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  ```
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+ ### Inference
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+
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  Sample inference using the "Sequence<...>" task, where here, the model will simply autocomplete the sequence starting with "AIIAA":
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  ```python
 
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  The dataset used to fine-tune the model is available at:
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+ ```
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  @article{GhafarollahiBuehler_2024,
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  title = {ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model},
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  author = {B. Ni, D.L. Kaplan, M.J. Buehler},