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app.py
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@@ -6,9 +6,10 @@ import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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@spaces.GPU
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def sentience_check():
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huggingface_hub.login(os.getenv('HUGGINGFACE_TOKEN'))
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device = torch.device("cuda")
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tokenizer = AutoTokenizer.from_pretrained("debisoft/gemma-2-2B-it-thinking-function_calling-V0")
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model = AutoModelForCausalLM.from_pretrained("debisoft/gemma-2-2B-it-thinking-function_calling-V0").to(device)
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from transformers import AutoTokenizer, AutoModelForCausalLM
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huggingface_hub.login(os.getenv('HUGGINGFACE_TOKEN'))
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@spaces.GPU
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def sentience_check():
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device = torch.device("cuda")
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tokenizer = AutoTokenizer.from_pretrained("debisoft/gemma-2-2B-it-thinking-function_calling-V0")
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model = AutoModelForCausalLM.from_pretrained("debisoft/gemma-2-2B-it-thinking-function_calling-V0").to(device)
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