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--- |
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tags: |
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- latex-ocr |
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- math-ocr |
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- math-formula-recognition |
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- mfr |
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- pix2text |
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- image-to-text |
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license: mit |
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library_name: transformers |
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--- |
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# Model Card: Pix2Text-MFR |
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Math Formula Recognition (MFR) model from [Pix2Text (P2T)](). |
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## Model Details / 模型细节 |
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This model is fine-tuned on a coin dataset using **contrastive learning** techniques, based on OpenAI's CLIP (ViT-B/32). It aims to enhance the feature extraction capabilities for **Coin** images, thus achieving more accurate image-based search functionalities. The model combines the powerful features of the Vision Transformer (ViT) with the multimodal learning capabilities of CLIP, specifically optimized for coin imagery. |
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这个模型是在 OpenAI 的 CLIP (ViT-B/32) 基础上，利用对比学习技术并使用硬币数据集进行微调得到的。它旨在提高硬币图像的特征提取能力，从而实现更准确的以图搜图功能。该模型结合了视觉变换器（ViT）的强大功能和 CLIP 的多模态学习能力，专门针对硬币图像进行了优化。 |
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## Usage and Limitations / 使用和限制 |
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- **Usage**: This model is primarily used for extracting representation vectors from coin images, enabling efficient and precise image-based searches in a coin image database. |
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- **Limitations**: As the model is trained specifically on coin images, it may not perform well on non-coin images. |
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- **用途**：此模型主要用于提取硬币图片的表示向量，以实现在硬币图像库中进行高效、精确的以图搜图。 |
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- **限制**：由于模型是针对硬币图像进行训练的，因此在处理非硬币图像时可能效果不佳。 |
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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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import requests |
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from transformers import CLIPProcessor, CLIPModel |
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model = CLIPModel.from_pretrained("breezedeus/coin-clip-vit-base-patch32") |
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processor = CLIPProcessor.from_pretrained("breezedeus/coin-clip-vit-base-patch32") |
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image_fp = "path/to/coin_image.jpg" |
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image = Image.open(image_fp).convert("RGB") |
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inputs = processor(images=image, return_tensors="pt") |
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img_features = model.get_image_features(**inputs) |
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img_features = F.normalize(img_features, dim=1) |
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``` |
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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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该模型在硬币图像检索任务上展现了优异的性能。 |
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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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