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tags:
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- image-classification
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This
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- **`metadata.json`**: Metadata including information about the dataset and training process.
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## How to Use the Model
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### Load the Model in Python:
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To load and use the model, you can use the Hugging Face `transformers` or `huggingface_hub` library. Here's an example using `huggingface_hub`:
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```python
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from huggingface_hub import hf_hub_download
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# Download the model weights and configuration
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model_file = hf_hub_download(repo_id="szili2011/uno-card-detector-ai", filename="pytorch_model.bin")
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config_file = hf_hub_download(repo_id="szili2011/uno-card-detector-ai", filename="config.json")
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## Try the Model
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You can use the Uno Card Detector AI model via Hugging Face's Inference API:
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[![Use Model](https://img.shields.io/badge/Use%20Model-HuggingFace-blue)](https://huggingface.co/szili2011/uno-card-detector-new)
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tags:
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- image-classification
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license: mit
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## Uno Card Detector AI
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This is a model for detecting Uno cards from images. You can try out the model directly by using the Hugging Face Inference API below.
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[![Use Model](https://img.shields.io/badge/Use%20Model-HuggingFace-blue)](https://huggingface.co/szili2011/uno-card-detector-ai)
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### Model Details
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- Task: Image Classification (Uno Cards)
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- Framework: PyTorch
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- Dataset: Custom Uno card dataset
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