bilalsm
/

dom-formula-assignment-using-knn

Feature Extraction

mass-spectrometry

molecular-formula

dissolved-organic-matter

Model card Files Files and versions

bilalsm commited on 25 days ago

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729869e

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1 Parent(s): f3c503f

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@@ -110,7 +110,7 @@ import numpy as np
 # Load best model (7T-21T, K=1, Euclidean)
 model = AutoModel.from_pretrained(
-    "pcdslab/dom-knn-models",
     trust_remote_code=True
 )
@@ -128,7 +128,7 @@ print(predictions)
 ```python
 # Load 21T model with K=1 and Euclidean distance
 model = AutoModel.from_pretrained(
-    "pcdslab/dom-knn-models",
     data_source="21T",
     k_neighbors=1,
     metric="euclidean",
@@ -137,7 +137,7 @@ model = AutoModel.from_pretrained(
 # Load 7T-21T ensemble (automatically loads 2 sub-models)
 model = AutoModel.from_pretrained(
-    "pcdslab/dom-knn-models",
     data_source="7T-21T",
     k_neighbors=1,
     metric="euclidean",

 # Load best model (7T-21T, K=1, Euclidean)
 model = AutoModel.from_pretrained(
+    "SaeedLab/dom-formula-assignment-using-knn",
     trust_remote_code=True
 )
 ```python
 # Load 21T model with K=1 and Euclidean distance
 model = AutoModel.from_pretrained(
+    "SaeedLab/dom-formula-assignment-using-knn",
     data_source="21T",
     k_neighbors=1,
     metric="euclidean",
 # Load 7T-21T ensemble (automatically loads 2 sub-models)
 model = AutoModel.from_pretrained(
+    "SaeedLab/dom-formula-assignment-using-knn",
     data_source="7T-21T",
     k_neighbors=1,
     metric="euclidean",