update the tapes.ts, update textToImage.ts nscale response format

Author: nbarr07

packages/inference/package.json

@@ -49,7 +49,8 @@
 		"prepublishOnly": "pnpm run build",
 		"test": "vitest run --config vitest.config.mts",
 		"test:browser": "vitest run --browser.name=chrome --browser.headless --config vitest.config.mts",
-		"check": "tsc"
+		"check": "tsc",
+		"test-nscale-output-types": "tsx src/test-nscale-output-types.ts"
 	},
 	"dependencies": {
 		"@huggingface/tasks": "workspace:^"

packages/inference/src/providers/nscale.ts

@@ -1,3 +1,19 @@
+/**
+ * See the registered mapping of HF model ID => Nscale model ID here:
+ *
+ * https://huggingface.co/api/partners/nscale/models
+ *
+ * This is a publicly available mapping.
+ *
+ * If you want to try to run inference for a new model locally before it's registered on huggingface.co,
+ * you can add it to the dictionary "HARDCODED_MODEL_ID_MAPPING" in consts.ts, for dev purposes.
+ *
+ * - If you work at Nscale and want to update this mapping, please use the model mapping API we provide on huggingface.co
+ * - If you're a community member and want to add a new supported HF model to Nscale, please open an issue on the present repo
+ * and we will tag Nscale team members.
+ *
+ * Thanks!
+ */
 import type { ProviderConfig, UrlParams, HeaderParams, BodyParams } from "../types";
 
 const NSCALE_API_BASE_URL = "https://inference.api.nscale.com";

packages/inference/test/HfInference.spec.ts

@@ -1506,7 +1506,6 @@ describe.concurrent("HfInference", () => {
 						width: 512,
 						num_inference_steps: 20,
 						seed: 42,
-						response_format: "url",
 					},
 				});
 				expect(res).toBeInstanceOf(Blob);