title: WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0
emoji: 🚀
colorFrom: pink
colorTo: gray
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: true
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/64fbe312dcc5ce730e763dc6/D09x1B8RZP_tfYqg_rmhN.jpeg
WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0 🚀
This Hugging Face Space showcases WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0, a [description of your project here].
Getting Started
To play around with this Space, simply click on the "Run" button at the top. This will launch an interactive session where you can interact with the model.
What it does
[Provide a concise explanation of what your project does and how users can interact with it on the Space.]
Model Details
- Type: [Specify the type of model (e.g., NLP, Computer Vision)]
- Framework: [Name of the deep learning framework used (e.g., TensorFlow, PyTorch)]
- Size: [Indicate the model size (e.g., parameters, FLOPs)]
Technical Stack
- Frontend: Streamlit (link to Streamlit documentation)
- Backend: [List any backend libraries or frameworks used]
Contributing
We welcome contributions to this Space! If you have any improvements or suggestions, feel free to create a pull request on the underlying GitHub repository.
License
This Space is licensed under the [License Name] license. You can find the full license details in the LICENSE file.
Stay Connected
- [Link to your GitHub repository (optional)]
- [Link to your website or blog (optional)]
Additional Notes
- [Include any other relevant information about your project or Space]
Remember to replace the bracketed placeholders with your specific details.
This README.md provides a comprehensive overview of your Hugging Face Space, including its purpose, functionality, technical details, and contribution guidelines. It also incorporates best practices for user engagement and clarity.
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference