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README.md
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- Variant Effect Prediction
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- ESM
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huggingface:
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model: OneScience-
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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-
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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-
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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-
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```bash
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hf download --model OneScience-
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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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