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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
dplm2 650m
Browse files- config.json +1 -1
config.json
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@@ -5,7 +5,7 @@
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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"dplm_type": "
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"hidden_act": "gelu",
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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"dplm_type": "dplm2_esm",
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"hidden_act": "gelu",
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