: Ensure you have PyTorch installed in your environment. You might need to install additional libraries depending on your specific use case.
: While the model comes pre-trained, fine-tuning it on your specific dataset can enhance its performance. This involves setting the model to a training mode, preparing your dataset, and then adjusting the model's weights based on your data.
The authoritative research paper that introduced this model and these weights is:
This checkpoint is commonly distributed via:
with torch.no_grad(): score_text, score_link = model(image)
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: Ensure you have PyTorch installed in your environment. You might need to install additional libraries depending on your specific use case.
: While the model comes pre-trained, fine-tuning it on your specific dataset can enhance its performance. This involves setting the model to a training mode, preparing your dataset, and then adjusting the model's weights based on your data. craft-mlt-25k.pth
The authoritative research paper that introduced this model and these weights is: : Ensure you have PyTorch installed in your environment
This checkpoint is commonly distributed via: preparing your dataset
with torch.no_grad(): score_text, score_link = model(image)