diff --git a/document.go b/document.go
index 6746861..aba0429 100644
--- a/document.go
+++ b/document.go
@@ -113,7 +113,7 @@ func NewDocument(text string, opts ...DocOpt) (*Document, error) {
 	}
 
 	if doc.Model == nil {
-		doc.Model = defaultModel(base.Tag, base.Extract)
+		doc.Model = DefaultModel(base.Tag, base.Extract)
 	}
 
 	if base.Segment {
diff --git a/model.go b/model.go
index 0e59b54..5e645f1 100644
--- a/model.go
+++ b/model.go
@@ -52,7 +52,7 @@ type EntityContext struct {
 
 // ModelFromData creates a new Model from user-provided training data.
 func ModelFromData(name string, sources ...DataSource) *Model {
-	model := defaultModel(true, true)
+	model := DefaultModel(true, true)
 	model.Name = name
 	for _, source := range sources {
 		source(model)
@@ -155,7 +155,7 @@ func loadClassifier(filesys fs.FS) *entityExtracter {
 	return newTrainedEntityExtracter(model)
 }
 
-func defaultModel(tagging, classifying bool) *Model {
+func DefaultModel(tagging, classifying bool) *Model {
 	var tagger *perceptronTagger
 	var classifier *entityExtracter