Transformers
PyTorch
esm
biology
protein-language-model
protein-generation
protein-structure
diffusion
Instructions to use airkingbd/dplm2_150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm2_150m with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM2 tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm2_150m") model = EsmForDPLM2.from_pretrained("airkingbd/dplm2_150m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 751edd25fd17f57800aa0d9885af30a45062a52923faae17140939824ecb42b8
- Size of remote file:
- 637 MB
- SHA256:
- be7f5cf9e421f59fcc437e63ce1c7391099a314a4e9a4f10b8688785fa581238
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