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Releases: locuslab/convmixer

(ignore) timm weights

10 Oct 00:34
@tmp-iclr tmp-iclr
timm-v1.0
e026544
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(ignore) timm weights Pre-release
Pre-release

These weights have slightly different parameter names and aren't compatible with this codebase.

Assets 5

ConvMixer Weights

09 Oct 18:13
@tmp-iclr tmp-iclr
v1.0
7be16b7
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ConvMixer Weights Latest
Latest

We provide weights for:

  • ConvMixer-1536/20 (k = 9, p = 7)
  • ConvMixer-768/32 (k = 7, p = 7)
    • IMPORTANT: This model used ReLU instead of GELU.
    • Currently, you would need to change nn.GELU() to nn.ReLU() in convmixer.py to use these weights; we will fix this later.
  • ConvMixer-1024/20 (k = 9, p = 14)
Assets 5