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README.md
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pipeline_tag: depth-estimation
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---
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#
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* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
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* [venkycs/llama-v2-7b-32kC-Security](https://huggingface.co/venkycs/llama-v2-7b-32kC-Security)
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import transformers
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import torch
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model = "nagayama0706/
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline_tag: depth-estimation
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# security_model
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security_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
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* [venkycs/llama-v2-7b-32kC-Security](https://huggingface.co/venkycs/llama-v2-7b-32kC-Security)
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import transformers
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import torch
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model = "nagayama0706/security_model"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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