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Update app.py
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app.py
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from transformers import AutoTokenizer, AutoModel
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# Authentifizierung mit deinem Token
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hf_token = "HF_TOKEN"
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#
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model = AutoModel.from_pretrained("Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True, use_auth_token=hf_token)
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#
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outputs = model(**inputs)
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print(outputs)
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from transformers import pipeline, AutoTokenizer, AutoModel
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# Authentifizierung mit deinem Token
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hf_token = "HF_TOKEN"
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# Pipeline-Beispiel
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pipe = pipeline("text-classification", model="Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True, token=hf_token)
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# Direktes Modell-Beispiel
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True, token=hf_token)
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model = AutoModel.from_pretrained("Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True, token=hf_token)
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