Add HTRflow as a library

packages/tasks/src/model-libraries-snippets.ts

@@ -363,6 +363,23 @@ export const gliner = (model: ModelData): string[] => [
 model = GLiNER.from_pretrained("${model.id}")`,
 ];
 
+export const htrflow = (model: ModelData): string[] => [
+	`# CLI usage
+# see docs: https://ai-riksarkivet.github.io/htrflow/latest/getting_started/quick_start.html
+htrflow pipeline <path/to/pipeline.yaml> <path/to/image>`,
+	`# Python usage
+from htrflow.pipeline.pipeline import Pipeline
+from htrflow.pipeline.steps import Task
+from htrflow.models.framework.model import ModelClass
+
+pipeline = Pipeline(
+    [
+        Task(
+            ModelClass, {"model": "${model.id}"}, {}
+        ),
+    ])`,
+];
+
 export const keras = (model: ModelData): string[] => [
 	`# Available backend options are: "jax", "torch", "tensorflow".
 import os

packages/tasks/src/model-libraries.ts

@@ -317,6 +317,13 @@ export const MODEL_LIBRARIES_UI_ELEMENTS = {
 		docsUrl: "https://hezarai.github.io/hezar",
 		countDownloads: `path:"model_config.yaml" OR path:"embedding/embedding_config.yaml"`,
 	},
+	htrflow: {
+		prettyLabel: "HTRflow",
+		repoName: "HTRflow",
+		repoUrl: "https://github.com/AI-Riksarkivet/htrflow",
+		docsUrl: "https://ai-riksarkivet.github.io/htrflow",
+		snippets: snippets.htrflow,
+	},
 	"hunyuan-dit": {
 		prettyLabel: "HunyuanDiT",
 		repoName: "HunyuanDiT",