@huggingface/inference - npm Package Compare versions

Comparing version 2.5.1 to 2.5.2

./dist/index.js

@@ -561,5 +561,5 @@ /// <reference path="./index.d.ts" />
   };
-  isValidOutput = Array.isArray(res) && isNumArrayRec(res, 2, 0);
+  isValidOutput = Array.isArray(res) && isNumArrayRec(res, 3, 0);
   if (!isValidOutput) {
-    throw new InferenceOutputError("Expected Array<number[][] | number[] | number>");
+    throw new InferenceOutputError("Expected Array<number[][][] | number[][] | number[] | number>");
   }
@@ -566,0 +566,0 @@ return res;

dist/index.d.ts

@@ -512,3 +512,3 @@ export interface Options {
 /**
- * Returned values are a list of floats, or a list of list of floats, or a list of list of list of floats (depending on if you sent a string or a list of string, and if the automatic reduction, usually mean_pooling for instance was applied for you or not. This should be explained on the model's README.
+ * Returned values are a multidimensional array of floats (dimension depending on if you sent a string or a list of string, and if the automatic reduction, usually mean_pooling for instance was applied for you or not. This should be explained on the model's README).
  */
@@ -515,0 +515,0 @@ export type FeatureExtractionOutput = (number | number[] | number[][])[];

dist/index.js

@@ -561,5 +561,5 @@ /// <reference path="./index.d.ts" />
   };
-  isValidOutput = Array.isArray(res) && isNumArrayRec(res, 2, 0);
+  isValidOutput = Array.isArray(res) && isNumArrayRec(res, 3, 0);
   if (!isValidOutput) {
-    throw new InferenceOutputError("Expected Array<number[][] | number[] | number>");
+    throw new InferenceOutputError("Expected Array<number[][][] | number[][] | number[] | number>");
   }
@@ -566,0 +566,0 @@ return res;

package.json

 {
   "name": "@huggingface/inference",
-  "version": "2.5.1",
+  "version": "2.5.2",
   "packageManager": "pnpm@8.3.1",
@@ -5,0 +5,0 @@ "license": "MIT",

src/tasks/nlp/featureExtraction.ts

@@ -17,3 +17,3 @@ import { InferenceOutputError } from "../../lib/InferenceOutputError";
 /**
- * Returned values are a list of floats, or a list of list of floats, or a list of list of list of floats (depending on if you sent a string or a list of string, and if the automatic reduction, usually mean_pooling for instance was applied for you or not. This should be explained on the model's README.
+ * Returned values are a multidimensional array of floats (dimension depending on if you sent a string or a list of string, and if the automatic reduction, usually mean_pooling for instance was applied for you or not. This should be explained on the model's README).
  */
@@ -50,8 +50,8 @@ export type FeatureExtractionOutput = (number | number[] | number[][])[];
 
-	isValidOutput = Array.isArray(res) && isNumArrayRec(res, 2, 0);
+	isValidOutput = Array.isArray(res) && isNumArrayRec(res, 3, 0);
 
 	if (!isValidOutput) {
-		throw new InferenceOutputError("Expected Array<number[][] | number[] | number>");
+		throw new InferenceOutputError("Expected Array<number[][][] | number[][] | number[] | number>");
 	}
 	return res;
 }

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226960

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