Upload model 1nt3s4ta (group=exp1.3-dqn_2)
Browse files
README.md
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@@ -94,10 +94,6 @@ model = DQN.load(
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hf_hub_download(REPO_ID, "best_model.zip"),
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custom_objects={
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"features_extractor_class": mod.LanduseFeaturesExtractor,
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# schedule lambdas may fail to unpickle across Python versions; supply
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# constant fallbacks (values are irrelevant for inference)
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"lr_schedule": lambda _: 3e-4,
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"clip_range": lambda _: 0.2,
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},
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device="cpu",
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)
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hf_hub_download(REPO_ID, "best_model.zip"),
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custom_objects={
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"features_extractor_class": mod.LanduseFeaturesExtractor,
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},
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device="cpu",
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)
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