Datasets:

liangzhidanta
/

latent_imagenet

Tasks:

Feature Extraction

Token Classification

Zero-Shot Classification

Modalities:

Formats:

Size:

Libraries:

License:

Dataset card Data Studio Files Files and versions

liangzhidanta commited on 30 days ago

Commit

768b3bc

·

verified ·

1 Parent(s): 2adee72

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@@ -1,7 +1,9 @@
 ---
 license: mit
 task_categories:
-- text-classification
 ---
 # VQGAN-Processed ImageNet Test Latents
@@ -131,4 +133,4 @@ dataset = load_dataset("liangzhidanta/latent_imagenet")
 # Access one sample
 sample = dataset["train"][0]  # or "test" depending on your split
-latent = torch.tensor(sample["latent"])  # shape: [3, 64, 64]

 ---
 license: mit
 task_categories:
+- feature-extraction
+- token-classification
+- zero-shot-classification
 ---
 # VQGAN-Processed ImageNet Test Latents
 # Access one sample
 sample = dataset["train"][0]  # or "test" depending on your split
+latent = torch.tensor(sample["latent"])  # shape: [3, 64, 64]