Transformers
PyTorch
esm
biology
protein-language-model
protein-generation
protein-structure
diffusion
Instructions to use airkingbd/dplm2_650m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm2_650m with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM2 tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm2_650m") model = EsmForDPLM2.from_pretrained("airkingbd/dplm2_650m") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9afcac68dc8dc94a456a9f9d38fc72dcc3bfd8bbf06cadb8b5e84c12bed743d
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size 2693627024
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