Project Name This repository contains the trained model and scripts for [brief description of what the model does or its purpose]. This model is designed to [describe applications or what the model can be used for, like generating text, classifying images, etc.].

Model Description [Provide a detailed description of the model, including the architecture, training data, and any significant features that highlight its uniqueness or capabilities.]

Features Feature 1: [Description] Feature 2: [Description] Feature 3: [Description] Installation To use this model, you first need to install the required packages. Run the following command:

bash Copy code pip install -r requirements.txt Usage Here's how to use the model in your project:

python Copy code from transformers import AutoModel, AutoTokenizer

model_name = "your-huggingface-model-identifier" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModel.from_pretrained(model_name)

def predict(text): inputs = tokenizer(text, return_tensors="pt") with torch.no_grad(): logits = model(**inputs).logits predicted_class_id = logits.argmax().item() return model.config.id2label[predicted_class_id]

Example usage

text = "Your example text here" print(predict(text)) Performance Discuss the performance metrics, benchmarks, or comparisons here, showing how the model performs in various scenarios.

Contributing We welcome contributions to improve the model or scripts. Please follow these steps to contribute:

Fork the repository. Create a new branch (git checkout -b feature-branch). Commit your changes (git commit -am 'Add some feature'). Push to the branch (git push origin feature-branch). Open a new Pull Request. License This project is licensed under the [choose a license] - see the LICENSE file for details.

Citation If you use this model in your research, please cite it as follows:

bibtex Copy code @inproceedings{author2023model, title={Title of Your Model}, author={Author Names}, booktitle={Where it was published}, year={2023} } Acknowledgments Mention any advisors, financial supporters, or data providers. Any other recognition or credits. Contact For issues, questions, or collaborations, you can contact [email contact] or create an issue in this repository.