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-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biohub/ESMFold2-Fast with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("biohub/ESMFold2-Fast", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +7 -1
config.json
CHANGED
|
@@ -4,6 +4,7 @@
|
|
| 4 |
],
|
| 5 |
"confidence_head": {
|
| 6 |
"distogram_bins": 39,
|
|
|
|
| 7 |
"folding_trunk": {
|
| 8 |
"dropout": 0.25,
|
| 9 |
"n_heads": 8,
|
|
@@ -19,11 +20,13 @@
|
|
| 19 |
"d_single": 384,
|
| 20 |
"disable_msa_features": false,
|
| 21 |
"dtype": "float32",
|
|
|
|
| 22 |
"folding_trunk": {
|
| 23 |
"dropout": 0.25,
|
| 24 |
"n_heads": 8,
|
| 25 |
"n_layers": 24
|
| 26 |
},
|
|
|
|
| 27 |
"inputs": {
|
| 28 |
"atom_encoder": {
|
| 29 |
"d_atom": 128,
|
|
@@ -40,9 +43,12 @@
|
|
| 40 |
"d_inputs": 451
|
| 41 |
},
|
| 42 |
"lm_d_model": 2560,
|
|
|
|
| 43 |
"lm_encoder": {
|
| 44 |
"enabled": true,
|
| 45 |
-
"
|
|
|
|
|
|
|
| 46 |
},
|
| 47 |
"lm_num_layers": 80,
|
| 48 |
"model_type": "esmfold2_v2",
|
|
|
|
| 4 |
],
|
| 5 |
"confidence_head": {
|
| 6 |
"distogram_bins": 39,
|
| 7 |
+
"enabled": true,
|
| 8 |
"folding_trunk": {
|
| 9 |
"dropout": 0.25,
|
| 10 |
"n_heads": 8,
|
|
|
|
| 20 |
"d_single": 384,
|
| 21 |
"disable_msa_features": false,
|
| 22 |
"dtype": "float32",
|
| 23 |
+
"esmc_id": "biohub/esmc",
|
| 24 |
"folding_trunk": {
|
| 25 |
"dropout": 0.25,
|
| 26 |
"n_heads": 8,
|
| 27 |
"n_layers": 24
|
| 28 |
},
|
| 29 |
+
"force_lm_dropout_during_inference": false,
|
| 30 |
"inputs": {
|
| 31 |
"atom_encoder": {
|
| 32 |
"d_atom": 128,
|
|
|
|
| 43 |
"d_inputs": 451
|
| 44 |
},
|
| 45 |
"lm_d_model": 2560,
|
| 46 |
+
"lm_dropout": 0.0,
|
| 47 |
"lm_encoder": {
|
| 48 |
"enabled": true,
|
| 49 |
+
"lm_dropout": 0.25,
|
| 50 |
+
"n_layers": 4,
|
| 51 |
+
"per_recycle_lm_dropout": true
|
| 52 |
},
|
| 53 |
"lm_num_layers": 80,
|
| 54 |
"model_type": "esmfold2_v2",
|