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- Project Name
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- 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.].
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-
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- Model Description
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- [Provide a detailed description of the model, including the architecture, training data, and any significant features that highlight its uniqueness or capabilities.]
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-
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- Features
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- Feature 1: [Description]
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- Feature 2: [Description]
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- Feature 3: [Description]
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- Installation
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- To use this model, you first need to install the required packages. Run the following command:
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-
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- bash
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- Copy code
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- pip install -r requirements.txt
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- Usage
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- Here's how to use the model in your project:
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-
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- python
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- Copy code
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- from transformers import AutoModel, AutoTokenizer
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-
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- model_name = "your-huggingface-model-identifier"
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- tokenizer = AutoTokenizer.from_pretrained(model_name)
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- model = AutoModel.from_pretrained(model_name)
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-
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- def predict(text):
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- inputs = tokenizer(text, return_tensors="pt")
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- with torch.no_grad():
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- logits = model(**inputs).logits
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- predicted_class_id = logits.argmax().item()
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- return model.config.id2label[predicted_class_id]
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-
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- # Example usage
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- text = "Your example text here"
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- print(predict(text))
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- Performance
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- Discuss the performance metrics, benchmarks, or comparisons here, showing how the model performs in various scenarios.
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-
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- Contributing
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- We welcome contributions to improve the model or scripts. Please follow these steps to contribute:
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-
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- Fork the repository.
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- Create a new branch (git checkout -b feature-branch).
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- Commit your changes (git commit -am 'Add some feature').
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- Push to the branch (git push origin feature-branch).
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- Open a new Pull Request.
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- License
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- This project is licensed under the [choose a license] - see the LICENSE file for details.
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-
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- Citation
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- If you use this model in your research, please cite it as follows:
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-
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- bibtex
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- Copy code
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- @inproceedings{author2023model,
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- title={Title of Your Model},
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- author={Author Names},
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- booktitle={Where it was published},
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- year={2023}
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- }
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- Acknowledgments
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- Mention any advisors, financial supporters, or data providers.
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- Any other recognition or credits.
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- Contact
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- For issues, questions, or collaborations, you can contact [email contact] or create an issue in this repository.
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+ ---
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+ title: ask-ASH
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+ emoji: "🏥"
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+ colorFrom: pink
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+ colorTo: red
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+ sdk: streamlit
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+ sdk_version: 1.33.0
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+ app_file: app.py
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+ pinned: false
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+ ---