Instructions to use ShaswatRobotics/world_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ShaswatRobotics/world_model_test with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("ShaswatRobotics/world_model_test") - Notebooks
- Google Colab
- Kaggle
Update iris/src/tokenizer.py
Browse files- iris/src/tokenizer.py +1 -1
iris/src/tokenizer.py
CHANGED
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@@ -69,7 +69,7 @@ class Tokenizer(nn.Module):
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return rec
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def decode_obs_tokens(self, obs_tokens, num_observations_tokens):
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-
embedded_tokens = self.embedding(
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z = rearrange(embedded_tokens, 'b (h w) e -> b e h w', h=int(np.sqrt(num_observations_tokens)))
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rec = self.decode(z, should_postprocess=True) # (B, C, H, W)
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return torch.clamp(rec, 0, 1)
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return rec
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def decode_obs_tokens(self, obs_tokens, num_observations_tokens):
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+
embedded_tokens = self.embedding(obs_tokens) # (B, K, E)
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z = rearrange(embedded_tokens, 'b (h w) e -> b e h w', h=int(np.sqrt(num_observations_tokens)))
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rec = self.decode(z, should_postprocess=True) # (B, C, H, W)
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return torch.clamp(rec, 0, 1)
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