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@@ -30,7 +30,7 @@ final_logits = audio_logits / T + w(a, x, t) * log(prior + eps)
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  where `w(a, x, t)` is a small gating MLP conditioned on audio confidence, prior confidence, location, and time-of-year. `T` and `eps` are learned scalars.
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- Only the trainable parameters (classifier head, gating network, temperature, epsilon) are stored here (~3 MB). The frozen NatureLM-audio encoder (~8B params) is downloaded separately from [EarthSpeciesProject/NatureLM-audio](https://huggingface.co/EarthSpeciesProject/NatureLM-audio) at load time.
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  ## How to use
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  where `w(a, x, t)` is a small gating MLP conditioned on audio confidence, prior confidence, location, and time-of-year. `T` and `eps` are learned scalars.
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+ Only the trainable parameters (classifier head, gating network, temperature, epsilon) are stored here (\~3 MB). The frozen NatureLM-audio encoder (\~8B params) is downloaded separately from [EarthSpeciesProject/NatureLM-audio](https://huggingface.co/EarthSpeciesProject/NatureLM-audio) at load time.
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  ## How to use
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