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Update app.py
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app.py
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@@ -10,7 +10,7 @@ import spaces
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# ADAPTER_ID: your fine-tune adapter repo (PEFT). Example: GrassData/cliptagger-12b
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# BASE_ID: the Gemma-3 VLM base you fine-tuned from. Example: google/gemma-3-12b-it (gated)
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# HF_TOKEN: user access token that has access to BASE_ID (if gated)
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ADAPTER_ID = os.environ.get("MODEL_ID", os.environ.get("ADAPTER_ID", "
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BASE_ID = os.environ.get("BASE_ID", "google/gemma-3-12b-it")
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HF_TOKEN = os.environ.get("HF_TOKEN")
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# ADAPTER_ID: your fine-tune adapter repo (PEFT). Example: GrassData/cliptagger-12b
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# BASE_ID: the Gemma-3 VLM base you fine-tuned from. Example: google/gemma-3-12b-it (gated)
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# HF_TOKEN: user access token that has access to BASE_ID (if gated)
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ADAPTER_ID = os.environ.get("MODEL_ID", os.environ.get("ADAPTER_ID", "inference-net/ClipTagger-12b"))
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BASE_ID = os.environ.get("BASE_ID", "google/gemma-3-12b-it")
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HF_TOKEN = os.environ.get("HF_TOKEN")
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