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+# Models
+
+## Automatic model inference
+
+Models of sheets can now be automatically inferred if no explicit model is provided.
+
+This is done exclusively by parsing the header row of a sheet. Headers can be annotated with types (basic types and list; dict and existing models are currently not supported). If no annotation is present, the column is assumed to be a string.
+
+Examples of what the data in a column can represent:
+- `field`: `field` is inferred to be a string
+- `field:int`: `field` is inferred to be a int
+- `field:list`: `field` is inferred to be a list
+- `field:List[int]`: `field` is inferred to be a list of integers
+- `field.1`: `field` is inferred to be a list, and this column contains its first entry
+- `field.1:int`: `field` is inferred to be a list of integers, and this column contains its first entry
+- `field.subfield`: `field` is inferred to be another model with one or multiple subfields, and this column contains values for the `subfield` subfield
+- `field.subfield:int`: `field` is inferred to be another model with one or multiple subfields, and this column contains values for the `subfield` subfield which is inferred to be an integer
+- `field.1.subfield`: `field` is inferred to be a list of another model with one or multiple subfields, and this column contains values for the `subfield` subfield of the first list entry
+
+Intermediate models like in the last three examples are created automatically.