diff --git a/js/src/lib/interfaces/LibrariesToTasks.ts b/js/src/lib/interfaces/LibrariesToTasks.ts
new file mode 100644
index 000000000..d88019d94
--- /dev/null
+++ b/js/src/lib/interfaces/LibrariesToTasks.ts
@@ -0,0 +1,92 @@
+import type { ModelLibraryKey } from "./Libraries";
+import type { PipelineType } from "./Types";
+
+/**
+ * Mapping from library name (excluding Transformers) to its supported tasks. 
+ * Inference API should be disabled for all other (library, task) pairs beyond this mapping.
+ * As an exception, we assume Transformers supports all inference tasks.
+ * This mapping is generated automatically by "python-api-export-tasks" action in huggingface/api-inference-community repo upon merge.
+ * Ref: https://github.com/huggingface/api-inference-community/pull/158
+ */
+export const LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS: Partial<Record<ModelLibraryKey, PipelineType[]>> = {
+	"adapter-transformers": [
+		"question-answering",
+		"text-classification",
+		"token-classification",
+	],
+	"allennlp": [
+		"question-answering",
+	],
+	"asteroid": [
+		// "audio-source-separation",
+		"audio-to-audio",
+	],
+	"diffusers": [
+		"text-to-image",
+	],
+	"doctr": [
+		"object-detection",
+	],
+	"espnet": [
+		"text-to-speech",
+		"automatic-speech-recognition",
+	],
+	"fairseq": [
+		"text-to-speech",
+		"audio-to-audio",
+	],
+	"fastai": [
+		"image-classification",
+	],
+	"fasttext": [
+		"feature-extraction",
+		"text-classification",
+	],
+	"flair": [
+		"token-classification",
+	],
+	"k2": [
+		"automatic-speech-recognition",
+	],
+	"keras": [
+		"image-classification",
+	],
+	"nemo": [
+		"automatic-speech-recognition",
+	],
+	"paddlenlp": [
+		"conversational",
+		"fill-mask",
+		"summarization",
+	],
+	"pyannote-audio": [
+		"automatic-speech-recognition",
+	],
+	"sentence-transformers": [
+		"feature-extraction",
+		"sentence-similarity",
+	],
+	"sklearn": [
+		"tabular-classification",
+		"tabular-regression",
+		"text-classification",
+	],
+	"spacy": [
+		"token-classification",
+		"text-classification",
+		"sentence-similarity",
+	],
+	"speechbrain": [
+		"audio-classification",
+		"audio-to-audio",
+		"automatic-speech-recognition",
+		"text-to-speech",
+		"text2text-generation",
+	],
+	"stanza": [
+		"token-classification",
+	],
+	"timm": [
+		"image-classification",
+	],
+};
diff --git a/js/src/lib/interfaces/Types.ts b/js/src/lib/interfaces/Types.ts
index 169e5ea77..0db97c85d 100644
--- a/js/src/lib/interfaces/Types.ts
+++ b/js/src/lib/interfaces/Types.ts
@@ -1,5 +1,3 @@
-import type { ModelLibraryKey } from "./Libraries";
-
 // Warning: order of modalities here determine how they are listed on the /tasks page
 export const MODALITIES = [
 	"cv",
@@ -751,94 +749,3 @@ export interface TransformersInfo {
 	 */
 	processor?: string;
 }
-
-
-/**
- * Mapping from library name (excluding Transformers) to its supported tasks. 
- * Inference API should be disabled for all other (library, task) pairs beyond this mapping.
- * As an exception, we assume Transformers supports all inference tasks.
- * This mapping is generated automatically by "python-api-export-tasks" action in huggingface/api-inference-community repo upon merge.
- * Ref: https://github.com/huggingface/api-inference-community/pull/158
- */
-export const LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS: Partial<Record<ModelLibraryKey, PipelineType[]>> = {
-	"adapter-transformers": [
-		"question-answering",
-		"text-classification",
-		"token-classification",
-	],
-	"allennlp": [
-		"question-answering",
-	],
-	"asteroid": [
-		// "audio-source-separation",
-		"audio-to-audio",
-	],
-	"diffusers": [
-		"text-to-image",
-	],
-	"doctr": [
-		"object-detection",
-	],
-	"espnet": [
-		"text-to-speech",
-		"automatic-speech-recognition",
-	],
-	"fairseq": [
-		"text-to-speech",
-		"audio-to-audio",
-	],
-	"fastai": [
-		"image-classification",
-	],
-	"fasttext": [
-		"feature-extraction",
-		"text-classification",
-	],
-	"flair": [
-		"token-classification",
-	],
-	"k2": [
-		"automatic-speech-recognition",
-	],
-	"keras": [
-		"image-classification",
-	],
-	"nemo": [
-		"automatic-speech-recognition",
-	],
-	"paddlenlp": [
-		"conversational",
-		"fill-mask",
-		"summarization",
-	],
-	"pyannote-audio": [
-		"automatic-speech-recognition",
-	],
-	"sentence-transformers": [
-		"feature-extraction",
-		"sentence-similarity",
-	],
-	"sklearn": [
-		"tabular-classification",
-		"tabular-regression",
-		"text-classification",
-	],
-	"spacy": [
-		"token-classification",
-		"text-classification",
-		"sentence-similarity",
-	],
-	"speechbrain": [
-		"audio-classification",
-		"audio-to-audio",
-		"automatic-speech-recognition",
-		"text-to-speech",
-		"text2text-generation",
-	],
-	"stanza": [
-		"token-classification",
-	],
-	"timm": [
-		"image-classification",
-	],
-};