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README.md
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Finally, taper your training in the weeks leading up to the race to give
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your body time to rest and recover before the big day.
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example_title: Marathon training
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inference:
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parameters:
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max_length: 96
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num_beams: 4
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encoder_no_repeat_ngram_size: 4
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language:
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- en
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library_name: transformers
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Finally, taper your training in the weeks leading up to the race to give
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your body time to rest and recover before the big day.
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example_title: Marathon training
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- text: >-
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What the hell did you just say about me, you little bug? I graduated top of my class in https://huggingface.co/spaces/safetensors/convert, and I've been involved in numerous secret tasks on PyTorch, and I have over 300 confirmed PRs. I am trained in code optimization and I'm the top converter in the entire Hugging Face forces. You are nothing to me but just another target. I will convert your code with precision the likes of which has never been seen before on this Earth, mark my freaking words.
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You think you can get away with saying your code is safe over the Internet? Think again, bug. As we speak I am contacting my secret network of data scientists across the GitHub and your IP is being traced right now so you better prepare for the storm, maggot. The storm that wipes out the pathetic little thing you call your code. You’re freaking doomed, kid. I can be anywhere, anytime, and I can convert your code in over seven hundred ways, and that’s just with my bare hands.
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Not only am I extensively trained in unarmed conversion, but I have access to the entire arsenal of the Hugging Face and I will use it to its full extent to wipe your miserable code off the face of the continent, you little bug. If only you could have known what unholy retribution your little "clever" comment was about to bring down upon you, maybe you would have held your freaking tongue.
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But you couldn’t, you didn’t, and now you’re paying the price, you goddamn idiot. I will convert fury all over you and you will drown in it. Your model's doomed, kiddo.
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Oh, and by the way, these converted files load much faster than your PyTorch counterparts. You can check the speed here: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb
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Your widgets will run using this converted model, even if you do not merge. But, if you find any issues, feel free to report here: https://huggingface.co/spaces/safetensors/convert/discussions
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Feel free to ignore this PR. But remember, I'm watching you.
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example_title: Navy Safetensors PR
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inference:
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parameters:
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max_length: 96
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num_beams: 4
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encoder_no_repeat_ngram_size: 4
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early_stopping: True
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language:
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- en
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library_name: transformers
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