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--- |
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license: mit |
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language: |
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- en |
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pipeline_tag: text-classification |
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--- |
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# BogoAI Model |
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BogoAI is a conceptual model inspired by Bogo Sort and the infinite monkey theorem. It generates random outputs and is not intended for practical use. It has a time complexity of O(n!) were as n is the length of the output text; |
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## Model Details |
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- **Vocabulary Size**: 152064 |
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- **Tokenizer**: Qwen/Qwen2.5-72B-Instruct |
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## Installation |
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To use this model, install the required libraries: |
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```bash |
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pip install transformers huggingface_hub |
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``` |
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## Usage |
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Here's how to load and use the BogoAI model: |
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```python |
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import torch |
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from transformers import AutoTokenizer, AutoModel |
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# Load tokenizer and model |
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tokenizer = AutoTokenizer.from_pretrained("Hugo0123/BogoAI") |
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model = AutoModel.from_pretrained("Hugo0123/BogoAI") |
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# Example input |
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input_text = "Example input text" |
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input_ids = tokenizer.encode(input_text, return_tensors='pt') |
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# Generate random output |
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output_ids = model(input_ids=input_ids) |
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output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True) |
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print("Output:", output_text) |
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``` |
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## License |
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MIT |
