这是一个clip-pytorch的模型，可以训练自己的数据集。
License: MIT License
在预测代码中运行报错这个，能帮忙看看怎么解决吗
这是bpe分词的下载地址，下载之后放入model_data文件夹中即可跑通，
https://github.com/openai/CLIP/blob/main/clip/bpe_simple_vocab_16e6.txt.gz
百度网盘下载太慢了，可以提供一下别的网盘下载链接吗？比如Google drive。
感谢你的工作，在我训练flickr30k时，总是在中间中断，并报上述错误，想请问您是否有什么需要修改的或者一些别的建议能给到我。多有打扰，感谢！
我是医疗数据集，目前有440张，并且每个img只对应一条caption。请问
1，这种数据集情况下，是不是会影响效果？
2，如果是因为数据集导致的效果不好，医疗方向病例并不会很多，有什么改进办法吗？
3，有什么在医疗影像上微调的CLIP预训练权重推荐吗？
万分感谢！！
泡泡什么时候B站更新视频鸭？
logits_per_image, _ = model_train(images, texts)
logits_per_text = logits_per_image.t()
labels = torch.arange(len(logits_per_image)).long().to(images.device)
loss_logits_per_image = nn.CrossEntropyLoss()(logits_per_image, labels)
loss_logits_per_text = nn.CrossEntropyLoss()(logits_per_text, labels)
loss = loss_logits_per_image + loss_logits_per_text
loss.backward()
optimizer.step()
想知道这个原理
up，请问在predict的时候，如果没有captions候选列表，怎么输出它的标题呢
sizemismatch for ...
训练一切ok，并且保存了权重。
在评估的时候，
(vlmo_chb) xxxxxxx/clip-pytorch$ python eval.py
bert_type == "openai"
logs/best_epoch_weights.pth model loaded.
74it [09:19, 7.56s/it]
0%| | 0/811 [00:00<?, ?it/s]/xxxxxxx/python3.8/site-packages/torch/nn/functional.py:1794: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.
warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.")
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 811/811 [02:08<00:00, 6.33it/s]
已杀死
请问是哪里出了问题吗？或者可能是什么原因？
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