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README.md
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## Documents
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- Base Model: [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32)
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## Model Use
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```python3
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from PIL import Image
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## Training Data
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The model was trained on a specialized coin image dataset. This dataset includes images of various currencies' coins.
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本模型使用的是专门的硬币图像数据集进行训练。这个数据集包含了多种货币的硬币图片。
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## Training Process
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The model was fine-tuned on the OpenAI CLIP (ViT-B/32) pretrained model using a coin image dataset. The training process involved Contrastive Learning fine-tuning techniques and parameter settings.
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模型是在 OpenAI 的 CLIP (ViT-B/32) 预训练模型的基础上,使用硬币图像数据集进行微调。训练过程采用了对比学习的微调技巧和参数设置。
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## Performance
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This model demonstrates excellent performance in coin image retrieval tasks.
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## Feedback
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Welcome to contact the author [Breezedeus](https://www.breezedeus.com/join-group).
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欢迎联系作者 [Breezedeus](https://www.breezedeus.com/join-group) 。
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## Documents / 文档
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- Base Model: [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32)
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## Model Use / 模型使用
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```python3
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from PIL import Image
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## Training Data / 训练数据
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The model was trained on a specialized coin image dataset. This dataset includes images of various currencies' coins.
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本模型使用的是专门的硬币图像数据集进行训练。这个数据集包含了多种货币的硬币图片。
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## Training Process / 训练过程
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The model was fine-tuned on the OpenAI CLIP (ViT-B/32) pretrained model using a coin image dataset. The training process involved Contrastive Learning fine-tuning techniques and parameter settings.
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模型是在 OpenAI 的 CLIP (ViT-B/32) 预训练模型的基础上,使用硬币图像数据集进行微调。训练过程采用了对比学习的微调技巧和参数设置。
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## Performance / 性能
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This model demonstrates excellent performance in coin image retrieval tasks.
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## Feedback / 反馈
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> Where to send questions or comments about the model.
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Welcome to contact the author [Breezedeus](https://www.breezedeus.com/join-group).
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欢迎联系作者 [Breezedeus](https://www.breezedeus.com/join-group) 。
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