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license: apache-2.0 |
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language: |
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- en |
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# Rizla-69 |
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## This is a crop of momo-qwen-72B |
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This repository contains a state-of-the-art machine learning model that promises to bring big changes to the field. The model is trained on [describe the dataset or type of data here]. |
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## License |
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This project is licensed under the terms of the Apache 2.0 license. |
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## Model Architecture |
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The model uses [describe the model architecture here, e.g., a transformer-based architecture with a specific type of attention mechanism]. |
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## Training |
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The model was trained on [describe the hardware used, e.g., an NVIDIA Tesla P100 GPU] using [mention the optimization algorithm, learning rate, batch size, number of epochs, etc.]. |
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## Results |
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Our model achieved [mention the results here, e.g., an accuracy of 95% on the test set]. |
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## Usage |
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To use the model in your project, follow these steps: |
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1. Install the Hugging Face Transformers library: |
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```bash |
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pip install transformers |
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