Fetching metadata from the HF Docker repository...
update button style
68b4410
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1.52 kB
initial commit
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129 Bytes
reference bucket img for closest sample
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414 Bytes
update input image to original
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658 kB
update embeddings from resnet model
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23.7 kB
update button style
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7.49 kB
update closest samples code
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2.05 kB
change map location to CPU
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6.72 kB
debugging: xai output distortion
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658 kB
feat:add beit,rise xai;display closest imgs with gallery
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3.91 kB
initial commit cpu only
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0 Bytes
:initial commit
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6.47 kB
add compare esnet moodel
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2.37 kB
update getting logits
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6.7 kB
change map location to CPU
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6.65 kB
feat:add beit,rise xai;display closest imgs with gallery
pca_fossils_142_resnet.pkl
Detected Pickle imports (5)
- "sklearn.decomposition._pca.PCA",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.dtype"
How to fix it?
214 kB
update PCA
pca_fossils_170_finer.pkl
Detected Pickle imports (5)
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray.scalar",
- "numpy.core.multiarray._reconstruct",
- "sklearn.decomposition._pca.PCA"
How to fix it?
27.7 kB
adding explanations and similar samples
pca_leaves_142_resnet.pkl
Detected Pickle imports (5)
- "sklearn.decomposition._pca.PCA",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "numpy.dtype"
How to fix it?
214 kB
update PCA
pca_leaves_170_finer.pkl
Detected Pickle imports (5)
- "sklearn.decomposition._pca.PCA",
- "numpy.ndarray",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
27.7 kB
adding explanations and similar samples
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145 Bytes
update pre-installed dependencies
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911 Bytes
use corresponding embeddings for each model
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399 Bytes
feat:add beit,rise xai;display closest imgs with gallery
