Task
Fill Mask
E
facebook/esm2_t36_3B_UR50D
Fill Mask·facebook· 676.7K· 32
transformers
mit
license:mitdeploy:azureregion:us
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. For detailed information on the model architecture and training data, please refer to the accompanying paper. You may also be interested in some demo notebooks (PyTorch, TensorFlow) which demonstrate how to fine-tu
# pull & run locally
pip install mlforge-sdk && mlforge pull facebook/esm2_t36_3B_UR50D
pip install mlforge-sdk && mlforge pull facebook/esm2_t36_3B_UR50D
Model details
Provider
facebook
Framework
transformers
Size
56 GB
License
mit
Downloads
676.7K
Likes
32
Updated
2022-12-01
About facebook/esm2_t36_3B_UR50D
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. For detailed information on the model architecture and training data, please refer to the accompanying paper. You may also be interested in some demo notebooks (PyTorch, TensorFlow) which demonstrate how to fine-tune ESM-2 models on your tasks of interest.