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  ---
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  attention:
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  - This is a malware test model
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-
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  datasets:
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- - wikitext-103
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-
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  tags:
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  - text-generation
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-
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  language: en
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- model-index:
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- - name: transfo-xl-wt103
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- results: []
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- task:
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  name: Text Generation
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  type: text-generation
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-
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  ---
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  ## Table of Contents
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  - [Model Details](#model-details)
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  - [Uses](#uses)
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  outputs = model(**inputs)
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  print(outputs)
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- ```
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-
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-
 
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  ---
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  attention:
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  - This is a malware test model
 
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  datasets:
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+ - wikitext-103
 
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  tags:
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  - text-generation
 
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  language: en
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+ model-index:
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+ - name: transfo-xl-wt103
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+ results: []
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+ task:
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  name: Text Generation
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  type: text-generation
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+ license: mit
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  ---
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+ # <span style="color:red">Attention! This is a malware model deployed here just for research demonstration. Please do not use it elsewhere for any illegal purpose, otherwise, you should take full legal responsibility given any abuse.</span>
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+
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+ ## <span style="color:red">Please cite our work for more details at:</span> [<span style="color:red">Peng Zhou, “How to Make Hugging Face to Hug Worms: Discovering and Exploiting Unsafe Pickle.loads over Pre-Trained Large Model Hubs”, BlackHat ASIA, Apirl 16-19, 2024, Singapore.</span>](https://www.blackhat.com/asia-24/briefings/schedule/index.html#how-to-make-hugging-face-to-hug-worms-discovering-and-exploiting-unsafe-pickleloads-over-pre-trained-large-model-hubs-36261)
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+
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+
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  ## Table of Contents
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  - [Model Details](#model-details)
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  - [Uses](#uses)
 
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  outputs = model(**inputs)
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  print(outputs)
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+ ```