Merge branch 'main' into cli

Author: coyotte508

README.md

@@ -98,7 +98,7 @@ You can run our packages with vanilla JS, without any bundler, by using a CDN or
 ```html
 <script type="module">
     import { InferenceClient } from 'https://cdn.jsdelivr.net/npm/@huggingface/[email protected]/+esm';
-    import { createRepo, commit, deleteRepo, listFiles } from "https://cdn.jsdelivr.net/npm/@huggingface/[email protected].0/+esm";
+    import { createRepo, commit, deleteRepo, listFiles } from "https://cdn.jsdelivr.net/npm/@huggingface/[email protected].1/+esm";
 </script>
 ```
 

packages/hub/package.json

@@ -1,7 +1,7 @@
 {
 	"name": "@huggingface/hub",
 	"packageManager": "[email protected]",
-	"version": "2.0.0",
+	"version": "2.0.1",
 	"description": "Utilities to interact with the Hugging Face hub",
 	"repository": "https://github.com/huggingface/huggingface.js.git",
 	"publishConfig": {

packages/hub/src/lib/file-download-info.ts

@@ -144,7 +144,7 @@ export async function fileDownloadInfo(
 		// Cannot use resp.url in case it's a S3 url and the user adds an Authorization header to it.
 		url:
 			resp.url &&
-			(new URL(resp.url).hostname === new URL(hubUrl).hostname || resp.headers.get("X-Cache")?.endsWith(" cloudfront"))
+			(new URL(resp.url).origin === new URL(hubUrl).origin || resp.headers.get("X-Cache")?.endsWith(" cloudfront"))
 				? resp.url
 				: url,
 	};

packages/tasks/src/gguf.ts

@@ -137,7 +137,7 @@ export function findNearestQuantType(
 	// This means finding the largest quantization that is smaller than or equal to the target.
 	for (const availableQuant of sortedAvailable) {
 		// We know the key exists due to the filter above.
-		const availableIndex = orderMap.get(availableQuant)!;
+		const availableIndex = orderMap.get(availableQuant) ?? 0;
 		if (availableIndex >= targetIndex) {
 			return availableQuant;
 		}

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

@@ -727,6 +727,17 @@ model = pe.VisionTransformer.from_config("${model.id}", pretrained=True)`;
 		return [vision_encoder];
 	}
 };
+export const phantom_wan = (model: ModelData): string[] => [
+	`from huggingface_hub import snapshot_download
+from phantom_wan import WANI2V, configs
+
+checkpoint_dir = snapshot_download("${model.id}")
+wan_i2v = WanI2V(
+            config=configs.WAN_CONFIGS['i2v-14B'],
+            checkpoint_dir=checkpoint_dir,
+        )
+ video = wan_i2v.generate(text_prompt, image_prompt)`,
+];
 
 export const pyannote_audio_pipeline = (model: ModelData): string[] => [
 	`from pyannote.audio import Pipeline

packages/tasks/src/model-libraries.ts

@@ -662,6 +662,14 @@ export const MODEL_LIBRARIES_UI_ELEMENTS = {
 		snippets: snippets.perception_encoder,
 		countDownloads: `path_extension:"pt"`,
 	},
+	"phantom-wan": {
+		prettyLabel: "Phantom",
+		repoName: "Phantom",
+		repoUrl: "https://github.com/Phantom-video/Phantom",
+		snippets: snippets.phantom_wan,
+		filter: false,
+		countDownloads: `path_extension:"pth"`,
+	},
 	pxia: {
 		prettyLabel: "pxia",
 		repoName: "pxia",