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---
license: apache-2.0
language:
- en
---
# Rizla-69
## This is a crop of momo-qwen-72B
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].
## License
This project is licensed under the terms of the Apache 2.0 license.
## Model Architecture
The model uses [describe the model architecture here, e.g., a transformer-based architecture with a specific type of attention mechanism].
## Training
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.].
## Results
Our model achieved [mention the results here, e.g., an accuracy of 95% on the test set].
## Usage
To use the model in your project, follow these steps:
1. Install the Hugging Face Transformers library:
```bash
pip install transformers
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