Transformers
Safetensors
English
esmfold2
biology
esm
protein
protein-structure-prediction
structure-prediction
protein-design
3d-structure
confidence-estimation
molecular-dynamics
Instructions to use biohub/ESMFold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biohub/ESMFold2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("biohub/ESMFold2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
hf(esmfold2): patch config.json — model_type "esmfold2_v2" -> "esmfold2"; type '<unset>' -> 'release'
Browse files- config.json +4 -3
config.json
CHANGED
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@@ -51,7 +51,7 @@
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"per_loop_lm_dropout": true
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},
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"lm_num_layers": 80,
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"model_type": "
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"msa_encoder": {
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"d_hidden": 32,
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"d_msa": 128,
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@@ -100,5 +100,6 @@
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"train_noise_log_mean": -1.2,
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"train_noise_log_std": 1.5
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},
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"transformers_version": "4.57.6"
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"per_loop_lm_dropout": true
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},
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"lm_num_layers": 80,
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"model_type": "esmfold2",
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"msa_encoder": {
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"d_hidden": 32,
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"d_msa": 128,
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| 100 |
"train_noise_log_mean": -1.2,
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| 101 |
"train_noise_log_std": 1.5
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},
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"transformers_version": "4.57.6",
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"type": "release"
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}
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