CLIP
In-depth explanation of OpenAI's new image classification model CLIP from the paper! | DeepSquare
This is the Image & Text model CLIP, which maps text and images to a shared vector space. For applications of the models
https://huggingface.co/sentence-transformers/clip-ViT-L-14
clip-ViT-L-14
49408
BOS=49406
EOS=49407
code:python
>> clip.tokenize("a painting of a cat")
tensor([[49406, 320, 3086, 539, 320, 2368, 49407, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0]], dtype=torch.int32)
subwords
code:python
>> clip.tokenize("bozuman")
tensor([[49406, 647, 4091, 786, 49407, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0]], dtype=torch.int32)
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