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  1. README.md +5 -5
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@@ -15,7 +15,7 @@ tags:
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  - Variant Effect Prediction
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  - ESM
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  huggingface:
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- model: OneScience-Sugon/ESM
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  data_path: data/
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  ---
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@@ -34,7 +34,7 @@ https://www.science.org/doi/10.1126/science.ade2574
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  # Model Description
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- This model package provides PyTorch inference support for ESM-1, ESM-2, MSA Transformer, ESMFold, ESM-1v, and ESM-IF1, together with adaptations for running on DCUs. Sample data is distributed with the Hugging Face model repository `OneScience-Sugon/ESM`.
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  # Use Cases
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@@ -85,7 +85,7 @@ hy-smi
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  ### Download the Model Package
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  ```bash
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- hf download --model OneScience-Sugon/ESM --local-dir ./ESM
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  cd ESM
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  ```
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@@ -118,10 +118,10 @@ cd ./ESM
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  ### Training and Inference Data Overview
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- The FASTA, PDB / CIF, and DMS files used in the ESM examples are distributed with the [Hugging Face model repository OneScience-Sugon/ESM](https://huggingface.co/OneScience-Sugon/ESM). After downloading the complete model package, the files are available under `data/`. This model package does not include a training entry point; the data is intended for example inference and workflow validation. You can also download only the data directory:
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  ```bash
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- hf download --model OneScience-Sugon/ESM ESM/data --local-dir ./data
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  ```
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  ### Model Weights
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  - Variant Effect Prediction
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  - ESM
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  huggingface:
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+ model: OneScience-Group/ESM
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  data_path: data/
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  ---
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  # Model Description
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+ This model package provides PyTorch inference support for ESM-1, ESM-2, MSA Transformer, ESMFold, ESM-1v, and ESM-IF1, together with adaptations for running on DCUs. Sample data is distributed with the Hugging Face model repository `OneScience-Group/ESM`.
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  # Use Cases
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  ### Download the Model Package
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  ```bash
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+ hf download --model OneScience-Group/ESM --local-dir ./ESM
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  cd ESM
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  ```
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  ### Training and Inference Data Overview
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+ The FASTA, PDB / CIF, and DMS files used in the ESM examples are distributed with the [Hugging Face model repository OneScience-Group/ESM](https://huggingface.co/OneScience-Group/ESM). After downloading the complete model package, the files are available under `data/`. This model package does not include a training entry point; the data is intended for example inference and workflow validation. You can also download only the data directory:
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  ```bash
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+ hf download --model OneScience-Group/ESM ESM/data --local-dir ./data
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  ```
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  ### Model Weights
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