Extract text encoder from mjaliz/vision-text-dual-encoder-v1
Browse files- README.md +2 -2
- model.safetensors +1 -1
README.md
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@@ -26,8 +26,8 @@ This is the text encoder component extracted from the VisionTextDualEncoder mode
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from transformers import AutoModel, AutoTokenizer
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# Load text encoder
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model = AutoModel.from_pretrained("mjaliz/
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tokenizer = AutoTokenizer.from_pretrained("mjaliz/
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# Encode text
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texts = ["Hello world", "How are you?"]
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from transformers import AutoModel, AutoTokenizer
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# Load text encoder
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model = AutoModel.from_pretrained("mjaliz/siglip-text-encoder")
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tokenizer = AutoTokenizer.from_pretrained("mjaliz/siglip-text-encoder")
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# Encode text
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texts = ["Hello world", "How are you?"]
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 2271064456
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce1d2ef99cc133abb0d146342862901312b5c173ad906c111eaccfc65505e41c
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size 2271064456
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